Haomo Zhixing Technology Co., Ltd.
Historical product optionality; current underwriting remains blocked
Avoid at an unverified entry price until current operations, solvency, customer commitments, and capitalization are independently established.
覆盖范围与披露说明
Company-specific operating and financing evidence is largely historical. The assigned sources do not establish current live programs, cash, debt, revenue, liabilities, or capitalization; industry and regulatory context should not be read as Haomo-specific performance or compliance proof.
封面要素
公司概况
Haomo is a China-based autonomous-driving company whose historical public profile spans passenger-car ADAS, logistics automation, and the DriveGPT planning model. February 2024 reporting tied its passenger-car business to Great Wall Motor and described company-reported deployment indicators, but the assigned evidence does not verify current ownership, leadership, customer programs, financial scale, or product availability.
- 产品
- Historical reporting describes Level 2 passenger-car ADAS and Level 4 logistics-vehicle solutions; a 2023 announcement introduced DriveGPT for autonomous-vehicle planning and reasoning. Current products and deployments are not verified.
- 客户
- Historically reported customers and stakeholders include Great Wall Motor in passenger-car ADAS and named logistics clients, but current customer relationships and active programs are unverified.
- 商业模式
- Public reporting suggests OEM vehicle-program supply and logistics automation, but current contract terms, realized pricing, recognized revenue, and collections are undisclosed.
- 阶段
- Private; current financing stage and capitalization are unverified
- 融资情况
- Historical reports describe a RMB 100 million Series B first tranche in February 2024 and more than US$200 million of equity funding raised by that time; neither establishes current cash or financing availability.
执行摘要
主要优势
- Historical reporting describes both passenger-car ADAS and logistics automation activity, providing evidence of prior product deployment.
- The historical Great Wall relationship and disclosed technical work leave potential strategic and asset optionality, subject to verification.
主要风险
- Current operating status, live OEM programs, customer concentration, and service obligations are not verified.
- Current cash, debt, payables, burn, runway, revenue, and cap-table terms are unavailable, preventing solvency and equity-value underwriting.
- Safety, OTA, and automotive-data obligations are material, while Haomo-specific compliance controls and incident history are unverified.
未决问题
- Current unrestricted cash, debt, payables, contingent liabilities, burn, runway, and any binding rescue or bridge financing.
- Signed evidence of which OEM and logistics programs remain live, their delivery and support obligations, and current customer payments.
- Current fully diluted capitalization, liquidation preferences, valuation, and any sponsor-backed restart or asset-transfer terms.
- Current operating status, product approvals, OTA and incident records, compliance controls, and evidence that operations can restart.
目录
01Company Overview
1.1 Identity, product scope, and disclosed operating evidence
TechCrunch described Haomo.ai in February 2024 as an autonomous-driving startup backed by Great Wall Motor. It reported a passenger-car Level 2 advanced driver-assistance focus and Level 4 solutions for logistics vehicles, with Great Wall as the largest shareholder and principal customer in that account. The same article reported that Haomo's systems had powered more than 20 vehicle models and accumulated about 120 million kilometers, attributing those figures to the company; it also said the delivery vans had transported close to 300,000 grocery parcels. These are dated, company-attributed historical operating indicators, not current customer, revenue, or utilization measures. A separate technical blog says Haomo announced DriveGPT at its 2023 AI Day and characterizes it as a GPT-style autoregressive Transformer for driving planning and reasoning. The author distinguishes model-development ambition from production readiness and questions the feasibility of running the generative model on an in-vehicle system-on-chip in real time. That critique is an analyst's assessment, not evidence that deployment failed. No assigned source establishes current product availability, supported vehicle programs, or a present-day commercial fleet.[CO001, CO003, CO006, CO007, CO008, CO009, CO010]
| Metric | Value or status | Period and attribution | Confidence | Gap |
|---|---|---|---|---|
| Business scope | Passenger-car L2 ADAS and logistics L4 solutions | TechCrunch reporting, February 2024 | Medium | Current product and program status not established |
| CEO | Gu Weihao, identified as CEO | TechCrunch reporting, February 2024 | Medium | Current role not verified |
| Series B financing | RMB 100 million / US$14 million first tranche | Reported February 2024; led by Chengdu Wufa | Medium | No later financing or current cash balance |
| Equity funding raised | More than US$200 million, per ITJuzi as cited by TechCrunch | As reported February 2024 | Medium | Not cash available; total not refreshed |
| Vehicle-model deployment | More than 20 models, company-reported | As reported February 2024 | Medium | Current active programs unknown |
| Accumulated driving | About 120 million kilometers, company-reported | As reported February 2024 | Medium | Metric is cumulative and historical |
| Delivery volume | Close to 300,000 grocery parcels, as reported | TechCrunch reporting, February 2024 | Medium | Current fleet and utilization unknown |
| Valuation | No eligible source in the assigned pool | Unresolved | Obtain current fully diluted financing and preference data | |
| Revenue / run-rate | No eligible company financial disclosure in the assigned pool | Unresolved | Obtain audited or management financials and period definition | |
| Headcount and current customer count | No current measure in the assigned pool | Unresolved | Request dated employee and active-customer schedules |
Company-specific scale and financing values are historical reports, not current measurements; attributed company figures remain unaudited here. Null means the assigned evidence does not support a current value.
[CO001, CO002, CO004, CO005, CO006, CO007, CO008, CO016]Company milestones are sparse and mostly come from a February 2024 report; later market indicators are contextual and are not Haomo operating results.
DriveGPT announcement [CO009]
Series B first tranche reported [CO004]
Passenger-car deployment disclosed [CO007]
Accumulated driving disclosed [CO007]
Delivery volume disclosed [CO008]
Wuhou robotics relationship reported [CO011]
L2+ supplier competition context [CO012]
China LiDAR market context [CO013]
1.2 Leadership, ownership, and capital evidence
The available leadership evidence identifies Gu Weihao as CEO and describes him as a Baidu smart-car veteran, but this is a February 2024 report and does not establish his current role. The assigned sources do not identify Haomo's founders, board, governance arrangements, or executive changes. Those gaps prevent a current assessment of key-person dependence or functional leadership coverage. TechCrunch reported a 100 million yuan ($14 million) first tranche of Series B financing led by Chengdu Wufa Private Equity Fund Management, and separately cited ITJuzi for more than $200 million of equity funding raised by that time. The reported total is not cash available, and the article supplies no current valuation, debt, cash, revenue, or runway. Great Wall Motor, Meituan, and Qualcomm Ventures were identified as past investors; Great Wall was also described as the largest shareholder. The dated report is not a current cap-table or financing confirmation.[CO002, CO004, CO005, CO011, CO016]
| Person or disclosure area | Evidence in assigned sources | Background or coverage | Key-person / diligence implication |
|---|---|---|---|
| Gu Weihao | Identified by TechCrunch as CEO in February 2024 | Described as a Baidu smart-car veteran; founder status not stated | Verify current role, responsibilities, retention, and succession |
| Founders, board, and other executives | Not identified in the assigned company-specific evidence | Founder-market fit and functional coverage cannot be assessed | Obtain current leadership roster, board composition, and governance records |
Partial enumeration based on one historical news report; absent names and roles are evidence gaps, not proof that the positions are vacant.
[CO002, CO016]| Stakeholder | Reported role | Economic or operating importance | Diligence ask |
|---|---|---|---|
| Great Wall Motor | Largest shareholder and largest customer in the 2024 TechCrunch account | Strategic sponsor and reported principal passenger-car customer | Confirm current ownership, active programs, and any bridge support |
| Chengdu Wufa Private Equity Fund Management | Lead investor in the first reported Series B tranche | Local-government-backed capital source; financing was reported as a first tranche | Confirm round completion, terms, and any follow-on commitments |
| Meituan | Past investor and reported logistics-vehicle client | Potential capital and deployment relationship | Confirm current investment status and active deployments |
| Qualcomm Ventures | Past investor | Corporate venture investor | Confirm current holding and any commercial or governance rights |
| Wuhou district / Chengdu | Reported robotics-development agreement associated with the investment | Local demonstration relationship for cleaning and security-inspection robots | Confirm contract scope, funding, deliveries, and remaining obligations |
| Haomo CEO (not named by Lei Mao) | Lei Mao attributed DriveGPT remarks to Haomo's CEO | Executive voice in product development; current identity and role are unknown | Confirm the speaker, current role, and decision authority |
Partial list from historical third-party reporting; current ownership, investment, customer, and contract status remain unverified.
[CO003, CO004, CO011, CO016]1.3 Commercial context and regulatory exposure
The surrounding China market is moving toward broader assisted-driving deployment and more integrated supplier offerings, but these market indicators should not be read as Haomo results. IDTechEx reported that 52 percent of Chinese new-energy-vehicle startup sales in 2024 supported L2+ functionality and described a shift toward full-stack suppliers; Gasgoo's 2026 article also described hardware-software integration and rising emphasis on real-world system performance. Driving Vision News reported more than 1.3 million passenger-car LiDAR installations in China in the first four months of 2026. These sources establish competitive context, not Haomo market share or product adoption. A Law.asia article authored by Fangda Partners describes China's autonomous-vehicle rules as a layered framework with local pilot mechanisms and notes that, at the article's publication, specific national access standards for mass-produced L3-and-above vehicles had not been formally issued. Its publication date is not stated in the fetched text, so that regulatory description is not treated as a current legal status. The same article describes liability and data-security obligations as material operating considerations. Current approvals, compliance findings, and any company-specific incidents are not established by the assigned evidence.[CO012, CO013, CO014, CO015]
1.4 Evidence boundary and unresolved diligence
The strongest company-specific evidence is a single independent news report from February 2024, supplemented by a technical blog on DriveGPT. It supports a historical outline of ownership, funding, products, and disclosed operating indicators, but it does not establish current performance or financial condition. Industry publications add context but do not corroborate Haomo-specific customer, scale, or funding claims. In particular, no current valuation, revenue or run-rate, headcount, customer count, funding position, cash/debt profile, or board composition can be responsibly stated from this pool. A current company filing or signed investor and OEM confirmation would be needed to update the ownership and financing record; direct management and board materials would be needed to verify leadership, governance, and key-person coverage. Current vehicle-program evidence should identify the OEM, supported model, production period, and active service obligations. Financial statements or a current cash-and-liabilities schedule would be necessary to assess solvency and restart capacity. The available technical criticism warrants a diligence question about real-time deployment, not a conclusion about present product failure.[CO002, CO005, CO010, CO016]
1.5 Exhibits
02Market Analysis
2.1 Market boundary: vehicle ADAS first, autonomy adjacencies second
The most defensible core market is ADAS/AD systems supplied into passenger vehicles, especially L2 and L2+ assistance: TechCrunch described Haomo as focused on L2 ADAS for passenger cars, and IDTechEx described automakers shifting toward integrated, cost-effective ADAS offerings. This boundary includes software, sensors, compute, integration and program support only where they are part of the vehicle supplier award; the available evidence does not disclose Haomo's prices or the value of those awards. China reporting separately describes highway NOA and urban NOA as faster-growing, higher-function layers, but supplies no installation totals in the cited excerpt. Personal-vehicle L3, Robotaxi L4 and low-speed delivery/logistics are adjacent application markets with different approval, fleet and operating economics; they should not be added to passenger-car ADAS spend as if they were the same buyer pool. Smart-cockpit hardware is another adjacent category, not demonstrated Haomo revenue. The figure is a qualitative boundary map, not a proportional market-size pyramid.[CM001, CM004, CM008, CM011]
| Segment | Included scope | Buyer / user / payer evidence | Boundary and relevance |
|---|---|---|---|
| Passenger-vehicle L2/L2+ ADAS | Vehicle-integrated assistance software and relevant sensor/compute/integration spend within an OEM program | OEM vehicle-program buyer is inferred; driver is the user; contract payer and pricing are not disclosed | Core market indicated by Haomo's reported passenger-car L2 focus; no spend or Haomo share disclosed |
| Highway NOA and urban NOA | Higher-function passenger-car assistance programs, including L2.5 highway NOA and L2.9 urban NOA as described in the report | OEM program and trim-level purchasing path is plausible but not documented for Haomo | Adjacent layer within passenger-car ADAS; 2025 growth is described but volumes and incremental spend are absent |
| Personal-vehicle L3/L4 | Conditional or higher automation capability for personal vehicles | OEMs, regulators and vehicle users are involved; budget owner and commercial access are not evidenced here | Separate, policy-dependent adjacency; do not combine its future spend with L2/L2+ |
| Robotaxi L4 | Autonomous fleet vehicles and associated deployment/operation economics | Fleet operators and mobility platforms are potential buyers or operators; no Haomo-specific procurement evidence | Distinct operating market with capital and scaling constraints |
| Low-speed delivery and logistics | Autonomous delivery vehicles and fleet-oriented hardware/software | Enterprise logistics operators are potential buyers; contract values and active programs are unknown | Adjacent use case mentioned in historical reporting; keep separate from passenger-vehicle demand |
| Smart cockpit | Displays, cockpit controllers, voice and related in-cabin systems | OEM purchasing is indicated at category level; Haomo buyer relationship is not evidenced | Adjacent category reported separately by Gasgoo; exclude from Haomo core market absent product evidence |
Scope is an evidence-based classification, not a spend taxonomy. Buyer and payer assignments marked as inferred or unknown are not verified contract facts; adjacent categories have distinct units and economics.
[CM001, CM004, CM007, CM008, CM011, CM016]A qualitative map separates passenger-car ADAS from adjacent autonomy and cockpit markets; it does not encode relative market size.
各层宽度仅表示层级,不代表数值比例。
Conceptual ordering only: the pyramid shape does not represent relative revenue, vehicle volume, adoption probability or proportional TAM. Evidence does not support numerical sizing.
[CM001, CM004, CM007, CM008, CM011, CM014, CM016]2.2 Observable adoption is not a disclosed addressable-spend estimate
The evidence supports several non-comparable market lenses rather than a stitched TAM. IDTechEx reported that 52 percent of Chinese new-energy-vehicle startups' total vehicle sales supported L2+ functionality in 2024; that denominator is startup vehicle sales, not all vehicles, ADAS revenue or Haomo share. Gasgoo's January–April 2026 LiDAR installations offer a component-volume signal: it reported 456,986 Hesai units at 35.0 percent share and 398,057 Huawei units at 30.5 percent, with the two at 65.5 percent combined. Those LiDAR figures do not measure the whole ADAS market. Tracxn displayed $457 million of funding for China's autonomous-vehicle sector in 2026 to date, which is capital raised, not customer spend, revenue or cash available to suppliers. The other reports describe growth or market direction without supplying comparable China segment values, CAGR, ASPs or a transparent vehicle-by-feature denominator. No source in this allocation supports a numeric Haomo TAM, SAM or SOM.[CM002, CM003, CM005, CM006, CM009, CM010]
| Publisher / vintage | Geography and segment | Reported metric | Method / confidence | Limitation for TAM |
|---|---|---|---|---|
| IDTechEx article, 2025-05-01 | China; new-energy-vehicle startups | 52% of total vehicle sales supported L2+ functionality in 2024 | IDTechEx report excerpt; medium confidence | Startup-sales denominator only; not market revenue, all-vehicle penetration, supplier share or Haomo adoption |
| Gasgoo Automotive Research Institute, Jan-Apr 2026 | China passenger-car LiDAR components | Hesai: 456,986 installed units (35.0%); Huawei: 398,057 (30.5%); combined share 65.5% | Gasgoo compiled installation figures; medium confidence | Component category and four-month period only; not total ADAS spend or a full-year estimate |
| Research and Markets report listing, 2026 | China independent-OEM passenger-car intelligent driving | L2-and-above share reached 62.7% in 2025; L2.9 urban-NOA installation rate rose from 2.1% in 2022 to 17.2% in 2025 | Commercial report excerpt; medium confidence | The excerpt does not disclose the underlying population definition, full dataset, market value or CAGR |
| Tracxn company profile, accessed 2026-10-26 | China autonomous-vehicle sector | $457M sector funding in 2026 to date as displayed on the profile | Database snapshot; low confidence | Funding is capital raised, not revenue, customer spend, cash available or addressable demand |
| Research and Markets report, 2025 | California autonomous-vehicle testing; not China market sizing | 4.5 million test miles in 2024, 50% below 2023, as attributed to California DMV | Report excerpt citing California DMV; medium confidence | Different geography and test activity; adverse adoption context only, not Chinese market volume |
Metrics retain their source periods, denominators and units. No numeric TAM/SAM/SOM or CAGR is available from these excerpts; do not sum percentages, installations, test miles or financing into market revenue.
[CM002, CM005, CM006, CM009, CM010]2.3 OEM program economics and deployment constraints shape adoption
The likely buying path for passenger-car ADAS is an OEM vehicle-program decision, with the driver as user and the commercial payer governed by an undisclosed supplier contract or vehicle bill of materials. TechCrunch reported Haomo's historical L2 focus and said the company claimed its solutions had powered more than 20 vehicle models; this is evidence of programs, not current active awards, unit shipments or revenue. IDTechEx reported that software-only vendors' new contracts fell 37 percent year over year in 2024 and described automaker preference for cost-effective full-stack partnerships, while Gasgoo emphasized real-world performance, mass-production capability and cost optimization. These indicate procurement criteria, not proof of Haomo's conversion or margin. L3/L4 adoption faces separate regulatory and capital constraints: TechCrunch characterized L4 as capital-intensive and years from broad adoption, and a Research and Markets report cited a 50 percent decline in California autonomous-vehicle test mileage in 2024 versus 2023. Neither measure establishes Chinese demand. Buyer budget ownership, ASPs, switching costs, program economics, live OEM awards and the share of spend available to Haomo remain unverified.[CM003, CM004, CM007, CM009, CM011, CM012, CM014]
| Segment | Buyer / budget owner | User / payer | Adoption trigger or constraint | Evidence status |
|---|---|---|---|---|
| Passenger-car L2/L2+ supplier program | OEM product, engineering and procurement functions are inferred buyers | Driver uses the system; contract payer and cost allocation are undisclosed | Cost-effective deployment, system integration and production readiness | Market criteria reported; Haomo-specific budget and contract terms unknown |
| Higher-function highway/urban NOA | OEM program owner is inferred | Vehicle user is the driver; trim-level payment is not evidenced | Real-world scenario handling, reliability and cost at scale | Industry direction reported; no Haomo awards or user willingness-to-pay data |
| Personal-vehicle L3 | OEM and regulatory qualification pathway | Private vehicle user; consumer payment mechanism unknown | Legal permission, safety validation and deployment readiness | Report describes policy/qualification as constraints; no current market-size denominator |
| Robotaxi L4 | Fleet operator, OEM and mobility platform may share purchasing roles | Fleet passenger is the end user; operator pays deployment and operating costs | Capital intensity, vehicle utilization, safety-driver removal and local permissions | Report evidence describes scaling limits; Haomo-specific buyer evidence absent |
| Low-speed delivery / logistics | Enterprise fleet or logistics operator is a plausible buyer | Delivery operator/customer; payer and contract unit unknown | Fleet productivity, operating cost and deployment permissions | Historical reporting mentions deployments; current fleet and contract economics are unknown |
Buyer and payer roles are hypotheses where explicitly marked inferred or plausible. The sources do not disclose budget ownership, ASPs, purchasing cycles, ROI thresholds, switching costs or contract economics.
[CM003, CM004, CM007, CM008, CM011, CM012, CM014]2.4 Exhibits
03Competitors
3.1 A crowded supplier field with overlapping routes
The available evidence supports a layered rather than exhaustive landscape. TechCrunch identified Pony.ai, WeRide, Momenta, and DeepRoute as Haomo's Chinese autonomous-driving peers in February 2024, while describing a broader shift by L4-oriented firms toward L2 or L3 products that could be deployed sooner. A separate IDTechEx analysis groups Momenta, WeRide, QCraft, and Baidu Apollo as software-only suppliers and contrasts them with integrated providers including Huawei, Mobileye, Horizon Robotics, Black Sesame, and Bosch. These are different classifications and dates, not a head-to-head performance ranking. The evidence does not establish the full set of OEM in-house programs, manual-driving status quo alternatives, or newer entrants, so the landscape table is a sourced sample rather than a complete market census.[CP003, CP004, CP006]
| Provider or group | Competitive role | Public evidence in assigned sources | Limitation for comparison |
|---|---|---|---|
| Haomo | Focal L2 ADAS supplier with an adjacent L4 logistics offer in historical reporting | TechCrunch reported L2 ADAS sales mostly to Great Wall and more than 20 vehicle models; CarNewsChina also reported more than 20 GWM-brand models | Reports date from 2024-2025 and do not establish current operations or active contracts |
| Momenta | Direct ADAS supplier peer; categorized as software-only in an IDTechEx article | IDTechEx said it collaborated with 40+ OEMs; TechCrunch listed it among Haomo's peers | Collaboration count has no disclosed period, denominator, or signed-production split |
| WeRide, Pony.ai, and DeepRoute | Direct or adjacent autonomous-driving suppliers; L4-to-L2/L3 route overlaps by use case | TechCrunch named all three as Haomo peers; IDTechEx grouped WeRide among software-only vendors | The sources do not provide comparable current ADAS deployments or contract economics |
| Huawei | Integrated ADAS alternative and a major component supplier | IDTechEx reported 503,000 Huawei ADS vehicle deployments through three automakers in 2024; Gasgoo reported Huawei LiDAR installations separately | Vehicle deployments and LiDAR component installations are different metrics |
| Mobileye, Horizon Robotics, Black Sesame, and Bosch | Integrated platform or incumbent supplier alternatives | IDTechEx classifies these providers as full-stack; its article also describes Mobileye's move to entry-level Zeekr models in 2025 | No comparable supplier-level revenue, realized pricing, or performance benchmark is supplied |
| OEM internal development and status quo | Potential build-versus-buy or non-ADAS alternatives to a third-party system | The assigned IDTechEx article reports OEM preference for cost-effective full-stack partnerships | Specific in-house programs, manual-driving alternatives, switching costs, and buyer decisions are not documented |
Sourced landscape sample from the assigned prefetched materials, not an exhaustive enumeration. Provider classifications come from different publications and dates; no row implies equivalent product scope or measured performance.
[CP001, CP002, CP003, CP004, CP005, CP006, CP007, CP008, CP013]3.2 Scale evidence is uneven and denominator-specific
Haomo's historical footprint was tied closely to Great Wall Motor: TechCrunch reported that its passenger-car ADAS was mostly sold to its largest shareholder and that the system had powered more than 20 vehicle models; CarNewsChina separately reported more than 20 GWM-brand models. Those reports are historical and do not verify live programs today. The same evidence set reports Huawei ADS deployment in 503,000 vehicles through three automakers during 2024 and says Momenta collaborated with more than 40 OEMs, but neither number is a comparable market-share measure. Gasgoo's January-April 2026 figures are LiDAR component installations, not ADAS vehicle deployments: Hesai recorded 456,986 units (35.0%) and Huawei 398,057 units (30.5%). The metrics indicate different forms of scale and must stay separate.[CP001, CP002, CP007, CP008, CP009, CP016]
| Provider or metric | Reported evidence | Period and denominator | What it does not establish |
|---|---|---|---|
| Haomo vehicle-model footprint | More than 20 models; TechCrunch also reports about 120 million kilometers of driving | Historical company-reported figures relayed by TechCrunch in February 2024; CarNewsChina later reports more than 20 GWM-brand models | Current active vehicles, unique customers, or current program status |
| Huawei ADS vehicle deployments | 503,000 vehicles through partnerships with three major automakers | IDTechEx report, 2024 deployments | Market share, revenue, utilization, or comparability with model counts |
| Momenta OEM collaboration | More than 40 OEMs | IDTechEx article; period and definition of collaboration are not specified | Production contracts, shipped vehicles, or revenue per OEM |
| China LiDAR installations | Hesai: 456,986 units (35.0%); Huawei: 398,057 units (30.5%); combined share reported as 65.5% | Gasgoo Automotive Research Institute, China, January-April 2026 LiDAR installations | ADAS system deployments or the market share of complete driving systems |
Values retain the source's metric, period, geography, and denominator where stated. The source set mixes model counts, vehicle deployments, OEM collaborations, driving distance, and component installations; they are not a common scale measure.
[CP002, CP007, CP008, CP009, CP016]Ordinal positions summarize what this assigned source set reports, not supplier market share, system quality, or a validated ranking.
- X: Publicly reported OEM or deployment footprint (ordinal evidence score)
- low: Sparse or unquantified in assigned sources
- high: Multiple programs or quantified deployment
- description: Scores summarize disclosure in this evidence pool, not actual company scale.
- scale: ordinal
- Y: Reported product-integration breadth (ordinal evidence score)
- low: Narrow or unclear product integration
- high: Integrated hardware and software offering
- description: Scores summarize source descriptions, not independent technical testing.
- scale: ordinal
| 条目 | Publicly reported OEM or deployment footprint (ordinal evidence score) (1–5) | Reported product-integration breadth (ordinal evidence score) (1–5) | 说明 |
|---|---|---|---|
| 1. Haomo | 3 | 3 | TechCrunch reported more than 20 vehicle models, but the sources do not describe a comparable current hardware stack. |
| 2. Huawei | 5 | 5 | IDTechEx describes a full-stack platform and reports 503,000 vehicle deployments through three automakers in 2024. |
| 3. Momenta | 4 | 2 | IDTechEx reports 40+ OEM collaborations and categorizes Momenta as software-only. |
| 4. WeRide | 2 | 2 | The assigned sources name WeRide among Haomo's peers and software-only providers but give no comparable deployment total. |
| 5. Mobileye | 3 | 5 | IDTechEx groups Mobileye with full-stack providers and reports a shift to entry-level Zeekr models in 2025. |
| 6. Other software-only suppliers | 2 | 2 | IDTechEx names QCraft and Baidu Apollo in its software-only group; the source set gives no common scale metric. |
Both axes use analyst-assigned ordinal evidence scores from 1 to 5, based only on the cited descriptions. Scores measure how much comparable footprint or integration detail this pool contains, not real-world capability; sparse disclosure is not proof of weak performance. The panel midpoints are visual dividers, not benchmark thresholds, and the plotted positions do not establish a winner.
[CP002, CP003, CP006, CP007, CP008]3.3 OEM access and integration matter more than a feature-list comparison
The available supplier comparisons point to OEM access, system integration, and cost as important buying dimensions, but they do not disclose realized prices or contract terms. IDTechEx reports that automakers increasingly favor cost-effective full-stack partnerships over modular software offerings and that new contracts signed by software-only vendors fell 37% year over year in 2024. That is a category-level signal, not proof that a named supplier lost a particular Haomo program. Haomo's reported Great Wall relationship offers a clear distribution anchor but also leaves customer concentration and the availability of independent channels unresolved. No assigned source quantifies switching costs, multi-homing, OEM build-versus-buy economics, or the support obligations attached to a system; those gaps prevent a defensible total-cost or lock-in comparison.[CP001, CP005, CP006]
| Provider | Documented product or integration | Price or contract terms in assigned evidence | Buyer-facing implication and unresolved point |
|---|---|---|---|
| Haomo | L2 passenger-car ADAS and L4 logistics solutions in TechCrunch's 2024 account | Not disclosed in assigned sources | Great Wall was reported as the largest shareholder and principal customer; current concentration, support terms, and other live channels are unknown |
| Huawei | IDTechEx describes a full-stack ADS platform; reported deployments span three automakers in 2024 | Not disclosed in assigned sources | Integration breadth is a competitive factor, but no comparable vehicle-level price or realized margin is given |
| Momenta | IDTechEx categorizes it as software-only and reports 40+ OEM collaborations | Not disclosed in assigned sources | Contract count and collaboration scope do not establish unit economics or production volume |
| Mobileye and other integrated providers | IDTechEx describes full-stack offerings; Mobileye's position at Zeekr is reported to have shifted toward entry-level models in 2025 | Not disclosed in assigned sources | Product placement is not a price comparison; OEM switching and bundling terms remain unverified |
No listed price, realized price, contract value, discount, or package contents could be substantiated from the assigned prefetched text. “Not disclosed” means absent from this evidence set, not that providers have no pricing or contracts.
[CP001, CP005, CP006, CP007, CP008, CP010]3.4 Execution and commercialization risks temper positioning claims
A 2025 CarNewsChina report said Haomo had suspended operations after staff were told not to report to work, while explicitly noting that neither Haomo nor Great Wall had clarified whether this meant temporary suspension, dissolution, or restructuring. This is adverse reporting, not confirmation of current insolvency or closure. Competitive pressure is also visible in the cited market analysis: software-only suppliers face a reported contract decline, while L4 players face cost and policy constraints and some pursue L2++ or staged commercialization. A 36Kr-hosted BT Finance article compares Tesla, Huawei, and Momenta through asserted scenario-specific failure modes, but it is commentary rather than an independent controlled benchmark. The evidence does not establish current safety outcomes, pricing, customer retention, or a durable performance moat; current program and operational status require direct verification.[CP004, CP005, CP010, CP011, CP012, CP013]
3.5 Exhibits
04Financials
4.1 Revenue model and public traction
The strongest disclosed revenue path is ADAS supplied into passenger-vehicle programs, with Great Wall Motor identified as Haomo's largest shareholder and the main customer in the TechCrunch account; the article also relays a company spokesperson's statement that Haomo supplied three other unnamed OEMs. This suggests an OEM-program model, but the evidence does not give per-vehicle fees, contract duration, minimum volumes, production deliveries, or recognized revenue. TechCrunch separately described L4 solutions for logistics vehicles and named Meituan, Alibaba, and JD.com among clients, while a Chengdu investment was tied to a robotics-development agreement. These are evidence of activity or relationships, not proof of recurring revenue or collected cash. The public traction figures in that article were company claims, not audited unit or revenue disclosures.[CI001, CI003, CI004, CI005, CI006, CI007]
| Stream | Mechanism or unit | Public value or status | Revenue-quality implication |
|---|---|---|---|
| Passenger-vehicle ADAS | OEM vehicle programs; per-vehicle terms not disclosed | Company-reported: over 20 vehicle models and about 120 million kilometers in TechCrunch's 2024 account | Activity proxy only; no shipments, pricing, acceptance, or recognized revenue |
| Other OEM ADAS programs | Three additional OEMs per company spokesperson quoted by TechCrunch; names withheld | Customer identities and current program status not disclosed | Potential diversification cannot be assessed without named contracts and customer-level revenue |
| L4 logistics vehicles | Self-driving delivery solutions; contract or unit model not disclosed | TechCrunch named Meituan, Alibaba, and JD.com among clients; no revenue or fleet values | Customer relationship does not establish paid deployments, utilization, or collections |
| Robotics and smart hardware | Chengdu/Wuhou development agreement described by TechCrunch | Project agreement reported; scope, consideration, milestones, and recurring status unknown | Do not treat a development agreement or investment condition as earned revenue |
| Company-wide revenue | Mix across the described activities | No current revenue, ARR, GMV, or revenue-mix figure in assigned evidence | Underwriting and growth analysis remain blocked |
Public descriptions are historical and/or attributed claims; missing values mean not disclosed in the assigned sources, not zero.
[CI003, CI004, CI005, CI006, CI007]Public sources describe OEM and adjacent deployments but do not disclose the contract, recognition, collection, or margin inputs needed to calculate revenue or gross profit.
| 节点 / 连接 | 节点 / 起点 | 终点 | 说明 |
|---|---|---|---|
| 节点 1 | OEM program [oem_program] | TechCrunch describes Great Wall as the main buyer and reports three additional unnamed OEMs. | |
| 节点 2 | Vehicle activity [vehicle_activity] | The article relays a company claim of over 20 vehicle models and about 120 million kilometers; this is not a financial metric. | |
| 节点 3 | Contract terms [contract_terms] | Per-vehicle price, minimum volume, acceptance terms, and payment schedule are not disclosed. | |
| 节点 4 | Recognized revenue [recognized_revenue] | Current revenue and recognition policy are unavailable. | |
| 节点 5 | Gross profit [gross_profit] | Product-level costs and gross margin are unavailable. | |
| 节点 6 | R&D reinvestment [rnd_reinvestment] | TechCrunch characterized OEM revenues as supporting expensive R&D; current cash flows are not disclosed. | |
| 连接 1 | OEM program [oem_program] | Vehicle activity [vehicle_activity] | |
| 连接 2 | Vehicle activity [vehicle_activity] | Contract terms [contract_terms] | |
| 连接 3 | Contract terms [contract_terms] | Recognized revenue [recognized_revenue] | |
| 连接 4 | Recognized revenue [recognized_revenue] | Gross profit [gross_profit] | |
| 连接 5 | Gross profit [gross_profit] | R&D reinvestment [rnd_reinvestment] |
4.2 Revenue quality, pricing, and recognition
No assigned source provides a current revenue figure, ARR, GMV, realized price, revenue mix, gross margin, or recognition policy for Haomo. Historical capital raised must not be treated as operating revenue or cash available. The OEM concentration signal also matters: the article calls Great Wall Haomo's largest shareholder and describes it as the main buyer, while the other three OEMs are unnamed. Without customer-level sales and collection data, an investor cannot distinguish contracted programs from active production, shipments from accepted units, or reported customer activity from monetized usage. Sector reports discuss capital pressure and a shift toward full-stack systems, but those observations do not establish Haomo's own pricing power or revenue quality.[CI002, CI003, CI005, CI008, CI010, CI011]
| Question | Publicly supported answer | Status | Diligence needed |
|---|---|---|---|
| ADAS list price per vehicle or program | No price or contract schedule disclosed | 未知 | Obtain signed OEM pricing schedules and payment milestones |
| Realized price after rebates or bundling | No realized-price or discount data disclosed | 未知 | Reconcile invoices, credits, and OEM settlement statements |
| L4 logistics monetization | Clients are named, but fees, fleet counts, and paid usage are not disclosed | 未知 | Obtain customer contracts, deployed fleet and utilization by customer |
| Robotics project consideration | Agreement is reported; consideration and recognition terms are not disclosed | 未知 | Review executed agreement, milestones, acceptance, and accounting treatment |
| Revenue recognition and collections | No policy, aging, deferred revenue, or receivables data disclosed | 未知 | Obtain audited revenue policy, receivables aging, and cash receipts |
The assigned sources do not establish list pricing, realized revenue, or accounting treatment; 'Unknown' is not a zero value.
[CI003, CI005, CI006, CI007]4.3 Delivery costs and commercial efficiency
The sources identify plausible cost drivers without quantifying Haomo's cost base. An independent analyst article describes software-only ADAS vendors facing contract pressure and says cost optimization and scale matter across the sector; a separate market article flags a higher hardware cost for a competing lidar-based system than for pure vision, not a Haomo bill of materials. A technical blog author questions whether generative DriveGPT inference can run economically on vehicle compute, but offers no measured Haomo cost. China compliance commentary describes approval, reporting, and technical-documentation obligations; it is not a regulator filing and does not quantify Haomo's compliance spend. CAC, sales cycle, installation expense, warranty costs, capex, utilization, and working capital therefore remain unavailable.[CI010, CI012, CI013, CI014, CI015]
4.4 Capital adequacy and underwriting verdict
TechCrunch reported a 100 million yuan (about $14 million) first tranche of Series B funding in February 2024 and cited ITJuzi for more than $200 million of cumulative equity funding. Those historical proceeds do not establish today's cash balance, debt, payables, burn, or runway. Research and Markets describes business-model and financing pressure among some autonomous-driving companies, while its Pony.ai executive break-even estimate is company-specific and cannot be transferred to Haomo. A Yicai article fetched for this refresh carries publication metadata dated 2026-10-26 but its body begins with a November 25 dateline and describes events after the report's 2026-10-26 as-of date; it is not reliable proof of Haomo's current operating or liquidity status. The verdict is therefore that commercial activity is visible but financial resilience is un-underwritable without current company records.[CI001, CI002, CI008, CI009, CI016]
| Metric or input | Value | Confidence | Why it matters and diligence ask |
|---|---|---|---|
| Revenue by stream and period | Low | Required to separate passenger ADAS, logistics, robotics, and hardware; obtain monthly management accounts and audited statements | |
| Gross margin by product and customer | Low | Required to test contribution economics; reconcile revenue to compute, sensors, installation, support, and warranty costs | |
| ADAS BOM and installation cost per vehicle | Low | Required to assess OEM program margin; obtain supplier quotes, bill of materials, and installation labor | |
| R&D expense and capitalization policy | Low | Required to understand cash cost and accounting treatment; obtain audited statements and project-level spend | |
| DriveGPT compute and inference cost | Low | The blog's concern is qualitative, not a measured unit cost; obtain on-vehicle and cloud inference benchmarks | |
| Sales cycle, CAC, and payback | Low | OEM relationships do not establish acquisition economics; obtain funnel, sales cost, contract timing, and payback by program | |
| Customer concentration and receivables | Low | Great Wall is described as the largest shareholder and main buyer; obtain customer revenue shares, receivable aging, and collection history | |
| Working capital and capex | Low | Required to assess production financing; obtain inventory, supplier terms, capex commitments, and cash-conversion cycle | |
| Cash, debt, payables, and contingent liabilities | Low | No current balance-sheet evidence in the assigned pool; obtain bank confirmations, debt schedules, payables aging, and legal contingencies | |
| Monthly cash burn and runway | Low | Funding raised is not cash available; obtain current unrestricted cash and a reconciled monthly cash-flow forecast | |
| Next financing trigger and use of proceeds | Low | Historical financing does not establish a binding bridge; obtain board-approved plan, financing commitments, and milestone-linked uses | |
| Operating break-even scale for Haomo | Low | Pony.ai's executive estimate is not transferable; obtain Haomo-specific fleet, utilization, margin, and fixed-cost break-even model |
All nulls are unavailable in the assigned evidence, not estimates or zeros. Sector observations and competitor comparisons are not Haomo unit-economic benchmarks.
[CI001, CI002, CI003, CI008, CI009, CI010, CI012, CI013, CI014, CI015, CI016]4.5 Exhibits
05Product & Technology
5.1 A two-line product portfolio with uneven proof
Third-party coverage describes two distinct offerings: passenger-vehicle driver assistance and low-speed autonomous delivery. The passenger portfolio has included map-free highway NOA, memory driving, and automated parking; the delivery line has centered on the Little Camel vehicle. These are different operating contexts and should not be read as a single maturity curve. TechCrunch reported that Haomo said its ADAS had powered more than 20 vehicle models, while a later KrASIA article cited more than 20 HPilot-equipped models, while ML-Vehicle reported over 141 million assisted-driving kilometers as of May 2024. The differing mileage snapshots and reported product counts are historical claims, not a current installed-base measure. No assigned source verifies which vehicle programs remain in production or supported today.[CE001, CE002, CE003, CE004, CE005]
| Product or asset | User and workflow | Publicly reported maturity | Differentiation described | Diligence gap |
|---|---|---|---|---|
| HPilot / passenger-vehicle ADAS | OEMs and passenger-vehicle drivers; braking and lane-change assistance | TechCrunch reported company claims of deployment across more than 20 vehicle models | Integrates driver-assistance functions for passenger vehicles | Current supported models, installed base, and acceptance status are unverified |
| Map-free highway NOA | Drivers using highway navigation assistance | Reported as a production-oriented Haomo offering; current availability is unknown | Highway navigation without relying on high-definition maps, as described by KrASIA | No assigned evidence provides current coverage, operating limits, or reliability results |
| Memory driving and automated parking | Passenger-vehicle drivers repeating routes or parking maneuvers | Two Hyundai-model projects were reported with an August delivery plan that faced delays | Memory-based route behavior and parking automation | No proof of completed delivery, customer acceptance, or current support |
| Little Camel low-speed delivery vehicle | Last-mile logistics operators in retail and campus settings | ML-Vehicle reported versions 2.0 and 3.0 in commercial operation across nine use cases | Autonomous delivery in constrained, low-speed logistics workflows | Fleet size, utilization, service economics, and current deployments are not established |
Rows summarize dated third-party reporting, not a complete SKU inventory or verified October 2026 availability; reported milestones and plans are not equivalent to customer acceptance or ongoing support.
[CE001, CE002, CE003, CE004, CE012]5.2 DriveGPT is a reported planning approach, not a validated production stack
A technical blog describes DriveGPT as an autoregressive, decoder-only Transformer built around a tokenized “Drive language,” with a stated focus on behavior and local planning. In that account, scene signals, vehicle behavior, and human intentions are represented as sequences from which the model can generate future behavior; human rankings and takeover examples are discussed as possible feedback for reward-model training. The same author cautions that high-quality perception inputs are necessary and questions whether generative-model inference would meet real-time in-vehicle compute constraints. Separately, ML-Vehicle reports that Haomo co-developed the MANA OASIS compute center with Volcano Engine and launched DriveGPT in 2023, but the assigned sources do not provide hardware specifications, production deployment evidence, or independent safety validation. A 36Kr comparison focuses on Tesla, Huawei, and Momenta; it is not a Haomo test or an independent benchmark for its system. The diagram therefore represents the reported conceptual pipeline, not a verified deployed architecture.[CE006, CE007, CE008, CE009, CE016]
| Layer or process | Reported role | Dependency | Technical or diligence risk |
|---|---|---|---|
| Scene and perception inputs | Scene signals, objects, lanes, and vehicle state are converted into model inputs | The blog says DriveGPT requires high-quality perception signals | No Haomo perception architecture, sensor specification, or input-quality results are supplied |
| Drive-language representation | Quantized tokens describe scene states, behavior, and human intentions | Token design determines representation resolution and vocabulary size | The source is an independent technical explanation, not Haomo documentation |
| DriveGPT planning | Autoregressive decoder-only Transformer is described for behavior and local planning | Depends on the preceding scene representation and learned driving examples | No production inference latency, compute budget, or vehicle-level deployment proof |
| Human-feedback training | Human rankings and takeover situations are described as reward-model signals | Requires labeled and ranked driving data plus a training process | No dataset scale, safety protocol, or quantitative validation is disclosed |
| Vehicle behavior output | Model may generate future ego-vehicle behavior in the described approach | A separate control and safety envelope would be required for deployment | The source questions real-time in-vehicle compute feasibility; no production evidence is assigned |
This is a source-attributed conceptual description from a technical blog; it is not a confirmed implementation specification or a complete safety-critical vehicle architecture.
[CE006, CE007, CE008, CE009]Secondary technical commentary describes tokenized driving scenes feeding a generative planner, with human feedback discussed as a training signal; production integration is unverified.
- Scene and perception
- Input requirements are described by an independent technical blog; Haomo's deployed perception stack is not documented in the assigned sources.
- 条目
- Vehicle and road-scene signals
- High-quality perception inputs
- Drive-language encoding
- Tokenization is the blog author's explanation of DriveGPT's proposed representation.
- 条目
- Quantized scene and object tokens
- Vehicle behavior and intention tokens
- Generative planning
- This is a reported technical concept, not verified production software.
- 条目
- Decoder-only autoregressive Transformer
- Behavior and local planning
- Feedback and training
- The blog describes these as training signals; no Haomo safety protocol or data scale is supplied.
- 条目
- Human rankings of generated behavior
- Takeover examples as feedback
- Vehicle behavior
- Real-time in-vehicle feasibility and production deployment remain unverified.
- 条目
- Future ego-vehicle behavior
- Separate control and safety integration
- Deployment evidence gap
- This is an evidence boundary, not a disclosed DriveGPT layer.
- 条目
- Vehicle-control interface not documented
- Production acceptance and safety results not verified
5.3 Delivery execution and system assurance remain the underwriting gaps
Reporting points to a gap between technical ambition and confirmed deployment. KrASIA and ML-Vehicle describe memory-driving and parking projects for two Hyundai models, with an August delivery plan that sources said was at risk because of development delays; KrASIA also recounts a city-NOA schedule that slipped beyond its original 2023 target without confirmed deployment in that account. These reports are dated snapshots and do not establish the programs' status in October 2026. Sector commentary adds context rather than a Haomo benchmark: IDTechEx describes pressure on software-only suppliers to offer cost-effective full-stack partnerships, while Gasgoo emphasizes long-tail scenario handling, takeover frequency, path-planning reliability, and response efficiency as evaluation metrics. The assigned pool contains no current, independently measured Haomo reliability, security, certification, or supported-customer data. Buyers should therefore treat product capability and production support as unverified until program-level test and acceptance records are supplied.[CE010, CE011, CE012, CE013, CE014, CE015]
| User job | Reported workflow or solution | Evidence of measurable benefit | Limitation in assigned evidence |
|---|---|---|---|
| Navigate on highways | Map-free highway NOA | No comparable outcome or intervention-rate metric supplied | Product description does not establish current vehicle availability |
| Repeat a route or parking maneuver | Memory driving and automated parking were reported for two Hyundai models | No acceptance, time-saving, or safety outcome disclosed | Planned delivery was reported as delayed; current status is unknown |
| Move parcels in constrained environments | Little Camel autonomous vehicles for last-mile delivery, including retail and campus use cases | ML-Vehicle reports commercial operation across nine use cases | No denominator, active fleet, utilization, or independently verified outcome |
| Handle complex urban driving | City-level NOA was described as a delayed development program | No confirmed deployment or independent performance data in the assigned sources | Historical schedules do not establish present roadmap or readiness |
The table records what the assigned articles disclose; the absence of a reported benefit is an evidence gap, not proof that no benefit exists.
[CE002, CE003, CE012, CE013, CE015]5.4 Exhibits
06Customers
6.1 Buyer segments and public relationship evidence
Haomo's customer-facing evidence spans two distinct buyer groups: passenger-vehicle manufacturers integrating assisted-driving software, and logistics or retail operators using low-speed delivery vehicles. The sources do not identify the payers, contract values, fleet ownership, or revenue share for the named relationships, so product fit and reported deployment should not be conflated with recurring commercial revenue. Haomo's April 2024 announcement named Alibaba, Wumart, Meituan, and Dada Kuai Song as logistics collaborators and described Wumart-associated Xiao Motuo deliveries in Beijing; a separate report described a planned Hyundai model using DriveGPT. These are historical relationship signals, not confirmation that the programs remain live in October 2026. A separate 2026 article reports Meituan delivery-fleet activity but does not link those units to Haomo, so the named collaboration cannot be read as Haomo-supplied deployment. [CU003, CU004, CU005, CU015][CU003, CU004, CU005, CU015]
| Segment | Buyer / user / payer | Use case and reported scale | Reported status | Revenue or strategic value | Key diligence gap |
|---|---|---|---|---|---|
| Passenger-vehicle OEMs | OEM is the likely buyer; vehicle occupants use the feature; payer is not identified | HPilot was reported on more than 20 models in February 2024 and nearly 20 models in April 2024 | Company-reported mass production; named OEMs and current programs not disclosed | Potential embedded-software distribution; revenue and per-vehicle economics not disclosed | Obtain current OEM program list, SOP status, contract scope, and support obligations |
| Last-mile logistics / retail operators | Operators are the apparent buyers or users; end recipients use delivery service; payer and fleet owner are unclear | Company named Alibaba, Wumart, Meituan, and Dada Kuai Song; Wumart-related reporting cites over 120,000 orders in more than 60 Beijing communities | Historical company-reported collaboration and deliveries; no current fleet or repeat-order evidence | Potential logistics workflow access; account economics and contribution are not disclosed | Confirm active customer contracts, fleet ownership, service levels, and recent utilization |
| Hyundai Motor / China EV program | Automaker buyer; drivers are end users; payment terms are not reported | BusinessKorea reported a planned China-market EV model incorporating DriveGPT | Development plan reported; no production launch or customer outcome confirmed in the assigned evidence | Potential OEM integration and reference value; no contract value or production volume disclosed | Confirm signed scope, launch status, liability allocation, and whether the program continued |
| Overseas vehicle channel | Vehicle manufacturer / distributor relationship; local drivers are end users; payer not identified | Haomo's CEO was quoted as saying a first batch of 300 Weichai Mocha PHEVs equipped with HPilot had shipped to Germany | Company-reported shipment and local optimization; no retail sales, active use, or repeat deployment evidence | Potential export reference; no revenue, customer acceptance, or renewal data disclosed | Verify delivery acceptance, local approvals, support, and subsequent orders |
Historical, partly company-issued relationship evidence; named accounts are not proof of current active customers or revenue. Payer and economics are generally undisclosed.
[CU001, CU003, CU004, CU005, CU014, CU015]| Customer / counterparty | Segment | Reported use case | Production, pilot, or plan | Outcome stated by source | Limitation |
|---|---|---|---|---|---|
| Wumart | Retail / last-mile logistics | Xiao Motuo delivery to residents in Shunyi Mapo District, Beijing | Company-reported deliveries | Over 120,000 orders to residents in more than 60 communities | Historical company-issued result; period, unique users, and current operation not stated |
| Meituan | Last-mile logistics | Named by Haomo as a logistics collaborator; a separate 2026 article reports Meituan delivery-vehicle deployment | Relationship reported; the reported fleet is not attributed to Haomo | No Meituan-specific outcome tied to Haomo stated | No independent confirmation of Haomo deployment or current contract status |
| Hyundai Motor | Passenger-vehicle OEM | DriveGPT planned for a China-market EV-exclusive model | Development plan reported, not confirmed production | No launch or user outcome reported | Publication date and subsequent program status are not established by the fetched text |
| Weichai | Vehicle manufacturer / export channel | Mocha PHEVs equipped with HPilot reportedly shipped to Germany | Company-reported first shipment | CEO stated the first batch was 300 vehicles and was being optimized for local road habits | Shipment is not evidence of retail sales, end-user usage, or repeat purchase |
Partial enumeration of named relationships in the assigned sources, not a complete customer list. Company-attributed announcements are not independent customer references.
[CU003, CU004, CU005, CU014, CU015]6.2 Adoption metrics are historical and not directly comparable
Haomo's own February and April 2024 publications describe HPilot coverage on roughly twenty vehicle models, but their user-assisted-driving mileage figures differ sharply: more than 120 million kilometers in the February item and nearly 25 million kilometers in the April item. The sources do not define a comparable reporting scope or explain the difference; neither figure should be treated as a continuous growth series. The April account also reports more than 120,000 Xiao Motuo orders across more than 60 communities in one Beijing district, while a reported Germany shipment concerns an equipped vehicle batch rather than proof of end-user uptake or repeat orders. No current active fleet, renewal, or account-level economics are disclosed. [CU001, CU002, CU004, CU014][CU001, CU002, CU004, CU014]
| Metric | Reported value | Period / date | Source and confidence | Implication | Missing denominator or qualification |
|---|---|---|---|---|---|
| HPilot vehicle-model coverage | More than 20 models; a later account says nearly 20 | February and April 2024 | Haomo-issued announcements; company-claimed | Evidence of historical product integration breadth | No named OEMs, active model count, vehicle deliveries, or current status |
| HPilot user-assisted-driving mileage | More than 120 million km; later account says nearly 25 million km | February and April 2024, respectively | Haomo-issued announcements; values are not a comparable series | Shows reported use but cannot establish trajectory | Scope, fleet, accumulation period, and reason for differing totals are not supplied |
| Xiao Motuo delivery orders | More than 120,000 orders | April 2024 announcement; coverage described as over 60 communities | Haomo-issued account carried by EqualOcean; company-claimed | Historical delivery activity in a defined Beijing district | No order period, unique-user count, service-level outcome, or current utilization |
| Reported Hyundai program | No launch or deployment quantity disclosed | Publication date not stated in the fetched text; plan described as second half of the following year | BusinessKorea report; third-party reported | Potential OEM program, not production proof | No confirmation of launch, signed commercial terms, or user outcome |
| Chinese autonomous last-mile delivery market estimate | USD 6.05 billion in 2026; USD 25.98 billion forecast for 2035; 17.60% CAGR | 2026 estimate and 2026-2035 forecast | DataM Intelligence market report; analyst estimate | Category-level demand context only | Methodology and Haomo-addressable share are not established by the assigned text |
Source-reported quantities retain their stated metric and period. Company figures are not independently audited; the mileage values differ across releases and must not be combined.
[CU001, CU002, CU004, CU005, CU007]Maps the sequence of public customer evidence, distinguishing reported integrations and usage from unverified retention and current program status.
[CU001, CU002, CU003, CU004, CU005, CU011, CU012]6.3 Retention, concentration, and continuity remain open
The assigned evidence does not disclose current named OEM programs, customer count, contract duration, renewals, churn, net or gross retention, per-account revenue, or customer concentration. A November 2025 Yicai report said Haomo had reportedly suspended operations and relayed employee accounts of leave notices and salary arrears; Haomo had not publicly responded in that report. This is dated adverse reporting, not proof of present operating status, but it makes support continuity and the status of historical deployments material diligence items. Market research points to broader ADAS and delivery demand, while also describing buyer preference for integrated solutions; none of those category-level sources verifies Haomo's current customer traction. [CU007, CU008, CU009, CU010, CU011, CU012, CU013][CU007, CU008, CU009, CU010, CU011, CU012, CU013]
6.4 Exhibits
07Risks
7.1 Regulatory exposure is rising, while company readiness is unverified
China's February 2026 automotive-data guidance makes cross-border transfer controls and self-identification of important data directly relevant to automotive software suppliers, including autonomous-driving providers. DLA Piper describes required internal responsibility, transfer approval procedures, and three-year transfer-log retention; SCIO confirms that the guidance covers important-data identification, export processes, and security protections. Separately, MIIT and SAMR's 2025 notice addresses admission, recalls, OTA updates, and safety-event reporting for connected vehicles with combined driver-assistance systems. These requirements create potentially high consequences for an ADAS supplier whose software or data flows are embedded in customer vehicles, but none of the assigned sources demonstrates whether Haomo has filed, tested, or audited the relevant controls. The exposure is thus material; the probability of a Haomo-specific breach cannot be responsibly scored from this record.[CR001, CR002, CR003, CR004, CR005]
| Exposure | Jurisdiction / status | Likelihood | Potential severity | Mitigation evidence | Residual exposure / diligence path |
|---|---|---|---|---|---|
| Automotive-data identification and cross-border transfers | China; 2026 guidance issued | Unknown for Haomo | High if controller duties or transfer rules are breached | Guidance describes internal owners, approvals, and logs; Haomo controls not verified | Obtain data inventory, controller-role analysis, filings, transfer assessments, and three-year log samples |
| Connected-vehicle product admission, OTA, and recall administration | China; MIIT/SAMR notice issued in 2025 | Unknown for Haomo programs | High where product parameters, defects, or reporting duties are implicated | Notice sets filing, verification, reporting, and recall processes; Haomo records unavailable | Match each live vehicle program to approvals, OTA submissions, test evidence, and recall procedures |
| Assisted-driving safety claims and regulatory scrutiny | China; reported rules under development in Mint article | Sector-level scrutiny observed; Haomo-specific likelihood unknown | Potentially high due to injury, product, and regulatory consequences | No Haomo-specific incident, claim review, or safety audit found in assigned sources | Review approved marketing language, safety case, escalation process, and regulator correspondence |
Partial register of issues evidenced by the assigned sources, not a complete legal opinion or finding of non-compliance. Likelihood and company mitigation maturity remain unknown absent Haomo records.
[CR001, CR002, CR003, CR004, CR005, CR006]7.2 Product safety, software changes, and validation require customer-level proof
The 2025 MIIT/SAMR notice described by CMS requires additional technical parameters and verification materials, and addresses accident/event reporting, OTA filings, and product recalls. Mint reports that a fatal Xiaomi crash prompted intensified scrutiny of assisted-driving claims; that event is sector context, not evidence of a Haomo incident. ArenaEV's historical account gives price and capability claims for Haomo's HP-series kits, but does not independently establish production volumes, safety outcomes, or present-day product availability. A separate DriveGPT paper on arXiv describes its own planning and prediction evaluations; it does not identify Haomo or validate Haomo's system. Taken together, these sources justify a high-impact safety and validation diligence priority, not a conclusion that Haomo's products failed or are non-compliant. Require product-specific verification, incident, OTA, and recall records before assigning likelihood or mitigation maturity.[CR004, CR005, CR006, CR007, CR008, CR009]
| Failure mode | Likelihood | Severity | Mitigation maturity | Residual exposure | Evidence needed |
|---|---|---|---|---|---|
| Unverified ADAS safety performance or an undisclosed field event | 未知 | Potentially high | 未知 | Sector scrutiny is documented; no Haomo incident or outcome evidence in pool | Vehicle-level safety cases, incident logs, customer escalations, and test results |
| OTA change without complete filing, validation, or user communication | 未知 | High if requirements are missed | 未知 | Regulatory process is described, but Haomo's release controls are not evidenced | Release histories, approvals, rollback records, and customer notices |
| Important-data misclassification or uncontrolled cross-border transfer | 未知 | High if covered data is mishandled | 未知 | Guidance is more granular; no Haomo data map or audit evidence is available | Data inventory, classification decisions, access logs, and transfer approvals |
| Technical claims mistaken for production validation | 未知 | Material to safety and customer trust | 未知 | Sources describe product claims and a separate research paper, not independent Haomo validation | Independent tests, production acceptance results, and named customer outcomes |
Qualitative exposure register. No failure probability or mitigation score is assigned because the assigned public sources do not provide company-level operating or control evidence.
[CR003, CR004, CR005, CR006, CR007, CR008, CR009]External requirements and sector safety scrutiny are consequential, while Haomo-specific likelihood and mitigation maturity remain unverified.
[CR003, CR005, CR006, CR008, CR009, CR010, CR011, CR012, CR014]7.3 Commercial leverage and financial resilience are not established by historical reports
TechCrunch's February 2024 reporting described Great Wall as Haomo's largest shareholder and said Haomo sold mostly to that shareholder at the time, while reporting a first CNY 100 million tranche of a Series B. Those are dated third-party reports, not evidence of current order concentration, binding support, or cash available. The same report mentioned an agreement to develop robotics for a Chengdu district; it does not establish whether that project remains active or funds Haomo today. Separately, IDTechEx's published analysis reported a 37% year-on-year fall in 2024 new contracts for software-only ADAS vendors, a market pressure signal rather than a Haomo-specific result. Since the assigned sources do not establish Haomo's current OEM mix, contract backlog, receivables, debt, or liquidity, the ranking of commercial and solvency risks remains conditional. Obtain current contracts and financial schedules; do not treat historical funding raised as available cash.[CR010, CR011, CR012, CR013]
| Dependency | What is evidenced and period | Failure scenario | Likelihood | Residual exposure / diligence path |
|---|---|---|---|---|
| Great Wall Motor relationship | TechCrunch reported in February 2024 that Haomo sold mostly to its largest shareholder, Great Wall | Program reduction, commercial renegotiation, or shareholder support not continuing | Current concentration and support unknown | Obtain current OEM revenue, backlog, contracts, and any binding support commitments |
| Other OEM and logistics customers | TechCrunch reported three other OEMs and named Meituan, Alibaba, and JD.com as logistics-vehicle clients in 2024 | Customer programs may be inactive, unprofitable, delayed, or non-renewed | Current status unknown | Verify live production status, volumes, renewal terms, receivables, and customer references |
| Historical capital and local-government-linked project | TechCrunch reported a CNY 100 million first tranche of Series B and a Chengdu district robotics agreement in February 2024 | Historical financing may not fund current obligations; project economics or support may change | Current liquidity and project status unknown | Reconcile current cash, debt, payables, payroll, restricted funds, and project obligations |
Historical relationships and financing are reported as of the cited 2024 publication, not as current arrangements or available liquidity.
[CR010, CR012, CR013, CR014]7.4 Decision gates should be tied to evidence, not assumed mitigations
The highest-priority diligence gates are documentary: reconcile Haomo's current product approvals and OTA filings to each active vehicle program; inspect data inventories, transfer assessments, access controls, and retention logs; and obtain customer-level shipment, renewal, and payment evidence. A verified reportable safety event, an unremediated filing or recall deficiency, or loss of a critical OEM program would materially worsen the thesis. Conversely, independently reviewed compliance artifacts, current multi-OEM contracts, and evidence of funded operating runway would reduce uncertainty. None of these triggers is asserted to have occurred. The assigned sources also do not establish the absence of incidents, claims, employee disputes, or regulatory actions; those are specific search and document-review gaps rather than negative findings.[CR003, CR005, CR010, CR012, CR014]
7.5 Exhibits
08Valuation
8.1 Historical funding is not a current valuation mark
Published financing coverage records multiple rounds, including a nearly RMB 1 billion Series A reported in 2021, a RMB 100 million Series B first tranche reported by TechCrunch in February 2024, and a CNY 300 million Series B2 round reported by Yicai. These are historical amounts raised, not evidence of cash still available, current debt capacity, proceeds remaining, or a present equity value. The 2021 article said Haomo did not reveal its latest valuation; a separate report later described a peak valuation above USD 1 billion, but neither supplies a current mark or cap-table terms. The assigned pool contains no current company valuation, audited financial statements, fully diluted capitalization, preference stack, or binding rescue terms. A listed autonomous-driving peer's market capitalization is observable, but its public-market price is not a valid multiple for a distressed private supplier without comparable operating and financing inputs. Accordingly, scenario values and target returns remain unquantified rather than being inferred from historical funding or a stale peak mark.[CV004, CV005, CV006, CV007, CV012, CV016]
8.2 Strategic optionality is conditional on restart proof
Historical reporting describes two potential value pools: passenger-vehicle ADAS and autonomous logistics. TechCrunch reported that Haomo's ADAS business was concentrated around Great Wall Motor, while company-issued material carried by Gasgoo described Xiaomotuo delivery operations and prior order milestones. These records show historical product activity, not current contracted revenue, unit economics, or transferable intellectual property. More recent adverse coverage says employees were instructed not to report to work and reported delayed salaries; the fetched article text does not show a publication date, so the timing and present operating status require direct confirmation. Separately, IDTechEx's 2025 analysis reported a 37% year-on-year fall in new contracts for software-only vendors in 2024. That is an industry pressure signal, not a Haomo-specific measure or valuation benchmark. Gasgoo's January-April 2026 LiDAR market figures likewise describe a different segment and cannot be used to assign Haomo a share or revenue multiple. Any residual value therefore depends on verifying live OEM nominations, customer payment, support obligations, restart costs, and whether a sponsor will fund the business.[CV001, CV002, CV008, CV009, CV010, CV011]
| Argument | Evidence boundary | What would change the view |
|---|---|---|
| Thesis: historical product activity may leave strategic assets | Reported ADAS and delivery activity is historical; it does not prove live revenue or transferable assets | Verify current OEM nominations, IP ownership, delivery obligations, and buyer interest |
| Anti-thesis: restart and equity recovery are impaired | Adverse coverage reports a work halt and delayed salaries; current liabilities and operating status are unverified | Obtain current payroll, creditor, cash, and restructuring records |
| Anti-thesis: historical funding cannot finance a new entry case | Reported round proceeds are amounts raised in prior periods, not current cash or available funding | Reconcile bank balances, debt, payables, preferences, and binding sponsor commitments |
| Conditional upside: strategic sponsor may preserve selected programs | No binding rescue or purchase offer is established by this pool | Require executed sponsor terms and program-level economics before underwriting |
Evidence is incomplete and includes company-issued historical announcements; no row asserts current revenue, liquidity, or signed rescue financing.
[CV004, CV006, CV008, CV009, CV013, CV014, CV015]8.3 Avoid pending price and solvency diligence
The recommendation is avoid at any unverified entry price, not a claim that the technology or assets have no value. The decisive asymmetry is that the available evidence supports historical financing and deployments, while an undated report placing a potential work stoppage after the run date, historical payroll allegations, and absent current financial and capitalization data prevent an estimate of equity recovery. A bull case requires confirmed active programs, transferable assets, and binding sponsor funding after liabilities; the base case is a distressed restructuring or asset transfer with uncertain proceeds to equity; the bear case is negligible or zero equity recovery if obligations exceed realizable asset value. No evidence in the pool supports numeric valuation ranges, return targets, or scenario probabilities. The decision can move to research-more only after diligence establishes operating status, cash and debt, payables, customer commitments, cap-table preferences, and the price and protections offered to new capital. A verified sponsor-supported restart and a sufficiently low entry price could change the stance; failed program verification or liabilities ahead of equity would reinforce avoid.[CV003, CV013, CV014, CV015, CV016]
| Decision dimension | Assessment | Decision implication |
|---|---|---|
| Recommendation | avoid | Do not invest at an unverified price |
| Confidence | low | Current valuation and solvency inputs are not available in the assigned evidence |
| Risk rating | high, provisional evidence risk | Operating status and obligations require direct confirmation |
| Valuation stance | not supportable | No current mark or defensible entry range; require price and downside protection |
Analyst judgment from the assigned evidence; 'unpriceable' means the required current inputs are missing, not that equity has a known value.
[CV001, CV003, CV013, CV016]| Scenario | Explicit assumptions | Valuation and return logic | Probability signal | Downside trigger |
|---|---|---|---|---|
| Bull | A sponsor funds a restart; live OEM programs and transferable IP are verified; liabilities are settled or ring-fenced | No numeric range supportable; price only after diligence and a fully diluted, preference-adjusted cap table | Conditional; low confidence on current evidence | Programs or IP cannot be transferred, or sponsor terms are not binding |
| Base | Selected assets or programs may continue through a restructuring, but cash needs and claims ahead of equity remain unknown | Distressed asset or rescue economics; equity return cannot be estimated without liabilities and entry terms | Most prudent underwriting case, not a probability estimate | Creditor claims, payroll arrears, or restart costs consume realizable value |
| Bear | Operations do not resume and no buyer funds a viable transfer | Potentially zero equity recovery; no precise loss amount or valuation range established | Material downside case; likelihood unquantified | Confirmed insolvency, program termination, or assets encumbered ahead of equity |
Qualitative scenarios only. No current financials, cap table, binding transaction terms, or comparable private valuation support numeric values or probability percentages.
[CV001, CV002, CV003, CV013, CV014, CV015, CV016]Historical product and funding evidence leaves conditional optionality, but current operating and price gaps dominate the decision.
| 节点 / 连接 | 节点 / 起点 | 终点 | 说明 |
|---|---|---|---|
| 节点 1 | Historical funding and product activity [historical-evidence] | ||
| 节点 2 | Reported halt; operating status unverified [current-status] | ||
| 节点 3 | No current cash, liabilities, cap table, or price [price-inputs] | ||
| 节点 4 | Verify sponsor, active programs, and transferable assets [restart-test] | ||
| 节点 5 | Price only with downside protections [entry-test] | ||
| 节点 6 | Avoid until evidence and entry terms clear [decision] |
8.4 Exhibits
免责声明
This report is an evidence-bounded diligence assessment, not investment, legal, accounting, or regulatory advice. Historical company and market reporting does not establish current operating or financial conditions.
证据索引
| 编号 | 陈述 | 可信度 | 来源 |
|---|---|---|---|
| CO001 | TechCrunch described Haomo.ai as an autonomous-driving startup, and Lei Mao's technical blog discusses its autonomous-driving model. | 高 | SO003, SO008 |
| CO002 | TechCrunch identified Gu Weihao as Haomo's CEO in February 2024 and described him as a Baidu smart-car veteran. | 中 | SO003 |
| CO003 | TechCrunch described Great Wall Motor as Haomo's largest shareholder and principal passenger-car customer in February 2024. | 中 | SO003 |
| CO004 | TechCrunch reported a 100 million yuan, or $14 million, first tranche of Haomo's Series B financing led by Chengdu Wufa in February 2024. | 中 | SO003 |
| CO005 | TechCrunch cited ITJuzi for more than $200 million of Haomo equity funding raised by February 2024. | 中 | SO003 |
| CO006 | TechCrunch reported that Haomo focused on Level 2 passenger-car ADAS and also supplied Level 4 self-driving solutions for logistics vehicles. | 中 | SO003 |
| CO007 | TechCrunch reported Haomo's statement that its ADAS had powered more than 20 vehicle models and accumulated about 120 million kilometers. | 中 | SO003 |
| CO008 | TechCrunch reported that Haomo's self-driving delivery vans had transported close to 300,000 grocery parcels for Beijing supermarkets. | 中 | SO003 |
| CO009 | Lei Mao's technical blog says Haomo announced DriveGPT at its 2023 AI Day as an autoregressive Transformer model for autonomous-vehicle planning and reasoning. | 低 | SO008 |
| CO010 | Lei Mao questioned whether DriveGPT could run in real time on an in-vehicle system-on-chip, while noting that the model's actual performance remained an open question. | 低 | SO008 |
| CO011 | TechCrunch reported Meituan and Qualcomm Ventures among Haomo's past investors and Meituan, Alibaba, and JD.com among its logistics clients. | 中 | SO003 |
| CO012 | Robotics and Automation News's IDTechEx summary and Gasgoo's industry reporting both describe China's ADAS supplier market moving toward more integrated offerings. | 中 | SO004, SO005 |
| CO013 | Driving Vision News reported more than 1.3 million LiDAR installations in China's passenger-vehicle market during the first four months of 2026. | 中 | SO001 |
| CO014 | Fangda Partners' Law.asia article described local pilot rules as a key route for L3-and-above vehicle testing and operation in China. | 中 | SO002, SO007 |
| CO015 | Gasgoo's 2026 industry article described suppliers moving toward integrated domain controllers, algorithms, and full-stack systems, while emphasizing real-world performance. | 中 | SO005 |
| CO016 | Lei Mao's technical blog attributes DriveGPT remarks to Haomo's CEO but does not name the executive. | 低 | SO008 |
| CM001 | The strongest evidenced core market for Haomo is passenger-vehicle L2/L2+ ADAS, rather than all autonomous-driving applications. | 高 | SM002, SM004 |
| CM002 | IDTechEx reported that 52 percent of Chinese new-energy-vehicle startups' total vehicle sales supported L2+ functionality in 2024. | 中 | SM002 |
| CM003 | IDTechEx reported that the number of new contracts signed by software-only ADAS vendors in China fell 37 percent year over year in 2024. | 中 | SM002 |
| CM004 | IDTechEx described automakers prioritizing cost-effective full-stack ADAS partnerships over modular software-only offerings. | 中 | SM002 |
| CM005 | Gasgoo reported that from January through April 2026 Hesai installed 456,986 passenger-car LiDAR units in China, representing 35.0 percent share. | 中 | SM003 |
| CM006 | Gasgoo reported Huawei at 398,057 LiDAR installations and 30.5 percent share in China from January through April 2026, with Hesai and Huawei together at 65.5 percent. | 中 | SM003 |
| CM007 | TechCrunch characterized L4 driving as capital-intensive and years from widespread adoption in its 2024 report, while Research and Markets separately describes L3/L4 as distinct application scenarios. | 高 | SM004, SM007 |
| CM008 | A 2024 TechCrunch report said Haomo focused on passenger-car L2 ADAS and reported the company's claim that its systems had powered more than 20 vehicle models. | 中 | SM004 |
| CM009 | Research and Markets cited California autonomous-vehicle test mileage of 4.5 million miles in 2024, down 50 percent from 2023. | 中 | SM007 |
| CM010 | Tracxn displayed $457 million of funding for China's autonomous-vehicle sector in 2026 to date, a financing-flow indicator rather than a measure of market revenue or spend. | 低 | SM001 |
| CM011 | TechCrunch's historical account said Haomo also supplied L4 self-driving solutions to logistics vehicles, a separate adjacent market from passenger-car ADAS. | 中 | SM004 |
| CM012 | A BT Finance article republished by 36Kr frames safety, labor-saving and scenario fit as buyer concerns, but the article provides no representative demand survey. | 低 | SM006 |
| CM013 | A technical commentary on Haomo's DriveGPT states that real-time deployment of generative GPT models on automotive system-on-chips may be challenging because of inference cost, without providing a measured production benchmark. | 低 | SM008 |
| CM014 | Gasgoo describes real-world performance, cost optimization and mass-production capability as important competitive factors as China ADAS moves into the mass market. | 中 | SM003 |
| CM015 | Tracxn displays 207 active competitors in its Haomo profile, including 61 funded and 32 exited, but the excerpt does not define the competitor-screen methodology. | 低 | SM001 |
| CM016 | Gasgoo presents smart-cockpit components as a category distinct from passenger-vehicle ADAS components. | 中 | SM003 |
| CP001 | TechCrunch reported in February 2024 that Haomo focused on passenger-car L2 ADAS and mostly sold it to Great Wall Motor, its largest shareholder; CarNewsChina also described Great Wall as Haomo's principal investor and customer. | 高 | SP007, SP004 |
| CP002 | TechCrunch reported that Haomo's ADAS had powered more than 20 vehicle models, and CarNewsChina separately reported installation in more than 20 GWM-brand models. | 高 | SP007, SP004 |
| CP003 | TechCrunch named Pony.ai, WeRide, Momenta, and DeepRoute as Chinese autonomous-driving peers competing with Haomo in its February 2024 account. | 中 | SP007 |
| CP004 | TechCrunch reported that several L4-focused firms were moving toward more readily deployable L2 or L3 products as L4 adoption remained capital-intensive and years from widespread use. | 中 | SP007, SP002 |
| CP005 | An IDTechEx article reported that new contracts signed by software-only ADAS vendors fell 37 percent year over year in 2024. | 中 | SP005 |
| CP006 | IDTechEx categorized Momenta, WeRide, QCraft, and Baidu Apollo as software-only suppliers and Huawei, Mobileye, Horizon Robotics, Black Sesame, and Bosch as full-stack providers. | 中 | SP005 |
| CP007 | IDTechEx reported that Huawei ADS was deployed in 503,000 vehicles through partnerships with three major automakers in 2024. | 中 | SP005 |
| CP008 | The IDTechEx article said Momenta collaborated with more than 40 OEMs, without specifying the collaboration period or the share that reached production. | 中 | SP005 |
| CP009 | Gasgoo reported 456,986 China LiDAR installations for Hesai and 398,057 for Huawei from January through April 2026, with respective shares of 35.0% and 30.5%. | 中 | SP006 |
| CP010 | A ResearchAndMarkets summary of its 2025 L3/L4 report said many companies viewed 2026 as the first year of large-scale Robotaxi development and described technical, cost, and policy constraints on scaling. | 低 | SP002 |
| CP011 | A ResearchAndMarkets press release hosted by Yahoo Finance reports that the L2.9 urban NOA installation rate among independent brands rose from 2.1% in 2022 to 17.2% in 2025. | 低 | SP003 |
| CP012 | A 36Kr-hosted BT Finance article compared Tesla FSD, Huawei ADS, and Momenta Mpilot through scenario-specific technical routes and asserted failure modes; it is editorial comparison, not a controlled independent benchmark. | 中 | SP001 |
| CP013 | CarNewsChina reported in November 2025 that Haomo had suspended operations after staff were told not to report to work, while noting that no official clarification established whether the suspension was temporary, a dissolution, or a restructuring. | 中 | SP004 |
| CP014 | Lei Mao described DriveGPT as a decoder-only Transformer language model for behavior and local planning that predicts tokenized driving scenes and actions. | 低 | SP008 |
| CP015 | Lei Mao questioned whether DriveGPT could perform well in practice and argued that real-time vehicle inference could be computationally challenging. | 低 | SP008 |
| CP016 | Gasgoo reported that Hesai and Huawei together accounted for 65.5% of China passenger-vehicle LiDAR installations from January through April 2026; this is component concentration, not complete ADAS-system market share. | 中 | SP006 |
| CI001 | TechCrunch reported that Haomo raised 100 million yuan, or about $14 million, as the first tranche of its Series B in February 2024. | 中 | SI001 |
| CI002 | TechCrunch cited startup database ITJuzi for more than $200 million of Haomo equity funding, but its historical funding figure does not report current cash, debt, payables, burn, or runway. | 中 | SI001 |
| CI003 | TechCrunch described Great Wall Motor as Haomo's largest shareholder and main buyer of its passenger-vehicle ADAS. | 中 | SI001 |
| CI004 | TechCrunch reported that Haomo said its ADAS had powered more than 20 vehicle models and accumulated about 120 million kilometers of driving. | 中 | SI001 |
| CI005 | A company spokesperson told TechCrunch that Haomo supplied ADAS to three other OEMs but declined to name them. | 中 | SI001 |
| CI006 | TechCrunch named Meituan, Alibaba, and JD.com among clients for Haomo's self-driving logistics-vehicle solutions without disclosing revenue or fleet values. | 中 | SI001 |
| CI007 | TechCrunch reported that the Chengdu investment was tied to an agreement to develop robotics for Wuhou, without disclosing contract consideration. | 中 | SI001 |
| CI008 | Research and Markets reported that some L4 autonomous-driving companies exited or changed strategy under financial pressure and unclear business models. | 中 | SI002 |
| CI009 | Research and Markets attributed to a Pony.ai executive an estimate that thousands of Robotaxis are needed for operational break-even; this is not a Haomo estimate. | 中 | SI002 |
| CI010 | An IDTechEx analyst article republished by Robotics & Automation News reported that new contracts signed by software-only ADAS vendors fell 37 percent year-on-year in 2024. | 中 | SI004 |
| CI011 | The same IDTechEx article described cost-effective full-stack partnerships as gaining market share, a sector observation rather than evidence of Haomo's pricing or margins. | 中 | SI004 |
| CI012 | APA Engineering's 2025 compliance article says manufacturers must report driver-assistance malfunctions, failures, or accidents to MIIT and SAMR; it is not itself a regulator filing. | 中 | SI006 |
| CI013 | Gasgoo's industry article identifies cost optimization and large-scale production as competitive factors for intelligent-driving suppliers, but provides no Haomo-specific gross-margin or quantified delivery-cost measure. | 中 | SI005 |
| CI014 | Lei Mao's technical blog author argues that real-time DriveGPT inference on vehicle compute could be challenging because generative-model inference is costly, but provides no measured Haomo cost. | 中 | SI008 |
| CI015 | A BT Finance competitor comparison republished by 36Kr says Huawei's lidar solution has higher hardware cost than pure vision, but this is not a Haomo cost benchmark. | 中 | SI007 |
| CI016 | Yicai's fetched page metadata is dated 2026-10-26 while the article body begins with a November 25 dateline, so its reported shutdown cannot establish Haomo's status as of the report date. | 中 | SI003 |
| CE001 | Third-party coverage describes Haomo's portfolio as passenger-vehicle driver assistance plus low-speed autonomous delivery. | 中 | SE005, SE006, SE007 |
| CE002 | Reported passenger-vehicle offerings include map-free highway NOA, memory driving, and automated parking. | 中 | SE005, SE006 |
| CE003 | ML-Vehicle reported Little Camel delivery-platform versions 2.0 and 3.0 in commercial operation across nine use cases, including retail and campus logistics. | 中 | SE006 |
| CE004 | TechCrunch and KrASIA reported that Haomo's ADAS or HPilot had been used across more than 20 vehicle models, but neither establishes the current supported fleet. | 高 | SE005, SE007 |
| CE005 | TechCrunch reported that Haomo said its vehicles had accumulated about 120 million kilometers of assisted driving at the time of its 2024 article. | 中 | SE007 |
| CE006 | Lei Mao describes DriveGPT as a decoder-only autoregressive Transformer focused on behavior and local planning. | 中 | SE002 |
| CE007 | The DriveGPT account describes tokenized scene signals, vehicle behavior, and human intentions as inputs for generating future vehicle behavior. | 中 | SE002 |
| CE008 | Lei Mao cautions that DriveGPT depends on high-quality perception inputs and questions whether generative inference can meet real-time in-vehicle compute constraints. | 中 | SE002 |
| CE009 | ML-Vehicle reported that Haomo co-developed the MANA OASIS autonomous-driving compute center with Volcano Engine and launched DriveGPT in 2023. | 中 | SE006 |
| CE010 | IDTechEx reporting says software-only ADAS vendors signed 37% fewer new contracts year on year in 2024, illustrating a sector-level shift rather than Haomo-specific performance. | 中 | SE003 |
| CE011 | Gasgoo and IDTechEx describe China ADAS competition as emphasizing measurable scenario performance, response reliability, cost, and software-hardware integration. | 高 | SE003, SE004 |
| CE012 | KrASIA and ML-Vehicle reported memory-driving and parking projects for two Hyundai models, with an August delivery plan that sources said faced development delays. | 中 | SE005, SE006 |
| CE013 | KrASIA and ML-Vehicle described Haomo city-level NOA as delayed beyond its original 2023 schedule, with no confirmed deployment reported in those accounts. | 中 | SE005, SE006 |
| CE014 | A Research and Markets excerpt identifies technical, cost, and policy constraints as scaling challenges for autonomous-driving companies pursuing L4 commercialization. | 中 | SE008 |
| CE015 | The assigned evidence does not establish current Haomo reliability results, completed acceptance for delayed programs, or independently verified customer outcomes. | 中 | SE005, SE006, SE007 |
| CE016 | A 36Kr comparison of Tesla, Huawei, and Momenta does not provide a Haomo-specific performance test or independent benchmark. | 中 | SE001 |
| CU001 | Haomo's February and April 2024 company-issued announcements both put HPilot production coverage at roughly 20 vehicle models, reporting more than 20 and nearly 20 models, respectively. | 高 | SU001, SU002 |
| CU002 | The February and April 2024 Haomo announcements report non-aligned HPilot user-assisted-driving mileage totals of more than 120 million km and nearly 25 million km, respectively, without explaining the scope difference. | 高 | SU001, SU002 |
| CU003 | Haomo's April 2024 account named Alibaba, Wumart, Meituan, and Dada Kuai Song as collaborators in end-to-end logistics automatic delivery vehicles. | 中 | SU001 |
| CU004 | Haomo's April 2024 account said Xiao Motuo had delivered over 120,000 orders to residents in more than 60 communities in Beijing's Shunyi Mapo District through cooperation with Wumart. | 中 | SU001 |
| CU005 | BusinessKorea reported that Beijing Hyundai was developing a China-market EV-exclusive model planned to incorporate Haomo DriveGPT, but the assigned evidence does not confirm launch or production. | 中 | SU003 |
| CU006 | The February 2024 ChinaPEV item reported that HPilot was equipped on more than 20 models and had exceeded 120 million kilometers of user-assisted-driving mileage. | 中 | SU002 |
| CU007 | DataM Intelligence estimates the China autonomous last-mile delivery market at USD 6.05 billion for 2026 and forecasts USD 25.98 billion for 2035, with a stated 17.60% CAGR. | 低 | SU005 |
| CU008 | Gasgoo reports that China's passenger-vehicle ADAS component installation volumes increased across key segments from January through April 2026, but it does not attribute that market trend to Haomo. | 中 | SU006 |
| CU009 | The Automotive Data report says domestic Tier 1 suppliers gradually gained a dominant market position as the Chinese ADAS sector moved toward L2+ and higher-level systems. | 中 | SU007 |
| CU010 | A 2025 article citing IDTechEx says 52% of total vehicle sales among China's new-energy-vehicle startups supported L2+ functionality in 2024. | 中 | SU008 |
| CU011 | Yicai reported on November 25, 2025 that Haomo had reportedly suspended operations and that employees had been told to take leave; the report said Haomo had not publicly responded. | 中 | SU004 |
| CU012 | The assigned sources do not disclose current named customer program status, contract duration, renewals, churn, retention, or per-account revenue. | 低 | SU001, SU002, SU003, SU004 |
| CU013 | The assigned evidence does not establish how revenue or deployment scale is distributed among Haomo's named counterparties, so customer concentration cannot be quantified. | 低 | SU001, SU002, SU003 |
| CU014 | Haomo's CEO was quoted in the April 2024 account as saying that a first batch of 300 Weichai Mocha PHEVs equipped with HPilot had shipped to Germany for optimization to local road habits. | 中 | SU001 |
| CU015 | Robotics International reports that Meituan operated 8,400 autonomous delivery vehicles across 47 Chinese cities by June 2026; its article does not attribute that fleet to Haomo, so it cannot substantiate Haomo's customer deployment or share. | 低 | SU009 |
| CR001 | On 3 February 2026, eight Chinese government authorities published the Guidance for the Secure Cross-Border Transfer of Automotive Data (2026 Edition). | 高 | SR001, SR002 |
| CR002 | The 2026 automotive-data guidance addresses important-data identification, data export processes, and security protections. | 高 | SR001, SR002 |
| CR003 | DLA Piper says automotive data controllers must identify and file important-data catalogues and implement designated transfer personnel, internal approval procedures, and transfer-log retention of at least three years. | 中 | SR001 |
| CR004 | CMS reports that the 2025 MIIT/SAMR notice adds technical-parameter and verification requirements for intelligent and connected vehicles with combined driver-assistance and OTA functions. | 中 | SR003 |
| CR005 | CMS describes accident and event reporting duties, OTA filing requirements, and recall-related controls under the 2025 MIIT/SAMR notice. | 中 | SR003 |
| CR006 | Mint reported that a fatal Xiaomi SU7 crash in March prompted increased Chinese scrutiny of assisted-driving safety and marketing claims. | 中 | SR004 |
| CR007 | ArenaEV reported historical HP-series ADAS kit prices and capability claims, but its article does not establish current Haomo product availability or independent safety outcomes. | 中 | SR007 |
| CR008 | The assigned arXiv paper evaluates a DriveGPT behavior model on planning and prediction tasks, but does not identify Haomo or validate a Haomo product. | 中 | SR008 |
| CR009 | Public product claims and a separate autonomous-driving research paper do not establish Haomo's production safety case, customer acceptance, or mitigation maturity. | 中 | SR007, SR008 |
| CR010 | TechCrunch reported in February 2024 that Haomo's passenger-car ADAS sales were mostly to its largest shareholder, Great Wall, at that time. | 中 | SR005 |
| CR011 | IDTechEx analysis published by Robotics & Automation News reported a 37 percent year-on-year decline in 2024 new contracts signed by software-only ADAS vendors. | 中 | SR006 |
| CR012 | TechCrunch reported a CNY 100 million first tranche of Haomo's Series B and a Chengdu district robotics agreement in February 2024; neither establishes current cash or continuing support. | 中 | SR005 |
| CR013 | TechCrunch reported in 2024 that Haomo had three other OEM suppliers beyond Great Wall and named Meituan, Alibaba, and JD.com among logistics-vehicle clients. | 中 | SR005 |
| CR014 | TwoBirds describes Chinese employment guidance issued in September 2025 on compliance with non-compete restrictions, but the assigned sources do not establish Haomo-specific employee disputes or compliance. | 中 | SR009 |
| CV001 | KrASIA reports that Haomo instructed employees to stop reporting to work starting November 24; the fetched article text does not show its publication date, so the event's timing and current operating status remain unverified. | 中 | SV002 |
| CV002 | KrASIA reports that workers said salaries had been delayed for two months and that leadership had not communicated a settlement plan. | 中 | SV002 |
| CV003 | The assigned evidence does not establish Haomo's current equity valuation, cash balance, debt, payables, or fully diluted capitalization. | 低 | |
| CV004 | CNEVPost and TechCrunch document separate historical Haomo financing rounds, including a 2021 Series A and a February 2024 Series B first tranche; the reported proceeds do not establish current liquidity. | 高 | SV004, SV005, SV008 |
| CV005 | CNEVPost reported that Haomo raised nearly RMB 1 billion (USD 150 million) in Series A funding in December 2021 and said the company did not reveal its latest valuation. | 中 | SV004 |
| CV006 | TechCrunch reported on February 21, 2024 that Haomo raised RMB 100 million (USD 14 million) as the first tranche of its Series B. | 中 | SV005 |
| CV007 | Yicai reported that Haomo secured CNY 300 million (USD 41.4 million) in a Series B2 round two months after completing B1; this historical financing is not evidence of current cash. | 中 | SV008 |
| CV008 | Historical coverage describes Haomo's passenger-vehicle ADAS activity alongside autonomous-logistics delivery activity, but does not establish that either line remains commercially active. | 高 | SV003, SV005, SV009 |
| CV009 | Gasgoo carried Haomo's announcement that Xiaomotuo had completed more than 200,000 delivery orders, but the fetched text does not establish a publication year or current order volume. | 中 | SV003 |
| CV010 | IDTechEx reported that new contracts signed by software-only vendors fell 37% year-on-year in 2024, an industry trend that is not a Haomo-specific performance measure. | 中 | SV006 |
| CV011 | Gasgoo reported that Hesai and Huawei together held 65.5% of China's LiDAR installations from January through April 2026; this adjacent segment metric is not a Haomo share or valuation comparable. | 中 | SV007 |
| CV012 | CompaniesMarketCap listed Pony AI's market capitalization at USD 2.23 billion as of October 2026, a public-company value that does not by itself establish a comparable mark for Haomo. | 中 | SV001 |
| CV013 | Given the reported operating halt and missing current financing inputs, the evidence supports avoiding an investment at an unverified price rather than asserting that Haomo has no residual asset value. | 中 | SV002, SV004, SV005, SV008 |
| CV014 | If operations do not resume and no buyer funds an asset transfer, equity recovery could be zero, but the available evidence does not quantify liabilities or realizable asset value. | 低 | SV002 |
| CV015 | A bull case requires verified live OEM programs, transferable assets, and binding sponsor funding after liabilities; none of those current conditions is established by the assigned pool. | 低 | SV002, SV005 |
| CV016 | No numeric valuation range, target return, or scenario probability is supportable without current financials, cap-table preferences, active-program economics, and entry terms. | 中 | SV001, SV002, SV004, SV005, SV008 |
| 编号 | 出版方 | 标题 | 引文 |
|---|---|---|---|
| SO001 | Driving Vision News | Key ADAS/AD Markets: DVN 2026 - China Market Report Summary | LiDAR installations in China’s passenger-vehicle market exceeded 1.3 million units in the first four months of 2026. |
| SO002 | Fangda Partners via Law.asia | China's Autonomous Vehicle Regulations | At present, there are no unified, specific national access standards formally issued for mass-produced vehicles possessing autonomous driving functions at levels L3 and above. |
| SO003 | TechCrunch | Backed by Chinese carmaker Great Wall, Haomo raises $14M for autonomous driving tech | Haomo.ai, an autonomous driving startup backed by Chinese automaker Great Wall Motor, has raised 100 million yuan, or $14 million, from a fresh round of funding, it said today. |
| SO004 | Robotics and Automation News | Research report: China’s ADAS market surges as full-stack solutions dominate | While Level 3 autonomy continues to face regulatory and liability challenges in 2025, SAE Level 2+ ADAS is reshaping China’s automotive landscape, driven by vertically integrated supply chain solutions and declining hardware costs. |
| SO005 | Gasgoo | The next chapter for ADAS and smart cockpits丨Gasgoo Awards 2026 & China Automotive Industry Innovation Casebook | Leading suppliers are evolving from hardware-focused providers into developers of domain controllers, algorithm platforms, and full-stack solutions, leveraging software-hardware integration to enhance system performance and development efficiency. |
| SO006 | 36Kr / BT Finance | After FSD Enters Chinese Market: Which is More Reliable - Tesla, Huawei or Momenta? | There is no absolute good or bad among the three systems, only different technological bets and different failure modes. |
| SO007 | ResearchAndMarkets | L3/L4 Autonomous Driving and Startups Research Report, 2025 | Robotaxi steps towards scaling during 2026-2030, L3 Personal Vehicles Open New Commercial Opportunities |
| SO008 | Lei Mao | DriveGPT | On the 2023 China Haomo 8th AI Day, Haomo announced DriveGPT, an OpenAI GPT based autoregressive Transformer model for autonomous vehicle planning and reasoning using Drive language. |
| SM001 | Tracxn | Haomo Zhixing Technology - 2026 Company Profile & Team - Tracxn | The company has 207 active competitors, including 61 funded and 32 that have exited |
| SM002 | IDTechEx, republished by Robotics & Automation News | Research report: China’s ADAS market surges as full-stack solutions dominate | In 2024, 52 percent of their total vehicle sales supported L2+ functionality. |
| SM003 | Gasgoo Automotive Research Institute | The next chapter for ADAS and smart cockpits丨Gasgoo Awards 2026 & China Automotive Industry Innovation Casebook | Among these segments, the LiDAR market posted particularly strong growth and has evolved into a clear two-horse race. Hesai Technology ranked first with 456,986 units installed (35.0% share), while Huawei Technologies followed closely with 398,057 units (30.5% share). Together, the two companies accounted for 65.5% of total installations |
| SM004 | TechCrunch | Backed by Chinese carmaker Great Wall, Haomo raises $14M for autonomous driving tech | Haomo has been focusing on developing Level 2 advanced driver assistance systems for passenger cars, mostly selling to its largest shareholder Great Wall, a major manufacturer of SUVs and pickup trucks in China. |
| SM005 | Research and Markets | Chinese Independent OEMs' ADAS and Autonomous Driving Report, 2026 | Among them, the installation rate of L2.9 urban NOA has risen from 2.1% in 2022 to 17.2% in 2025, realizing a leapfrog structural shift from "dominated by non-intelligent driving" to "dominated by high-level intelligent driving". |
| SM006 | BT Finance, republished by 36Kr | After FSD Enters Chinese Market: Which is More Reliable - Tesla, Huawei or Momenta? | What we care about is which one of FSD, Huawei, and Momenta is better, safer, and more labor - saving. |
| SM007 | Research and Markets | L3/L4 Autonomous Driving and Startups Research Report, 2025 | According to the latest data from the California DMV, the total test mileage of autonomous vehicles in California in 2024 was 4.5 million miles, a 50% decrease from 2023. |
| SM008 | Lei Mao | DriveGPT | Even if DriveGPT can perform well in a GPU data center in an offline setting, I think running DriveGPT on a car SoC in real time might just be too challenging, given how costly it is for running inference for generative GPT models. |
| SP001 | BT Finance via 36Kr | After FSD Enters Chinese Market: Which is More Reliable - Tesla, Huawei or Momenta? | Under the current road conditions in China, Huawei ADS and Momenta have a first-mover advantage in perception redundancy and local data accumulation. |
| SP002 | ResearchAndMarkets.com | L3/L4 Autonomous Driving and Startups Research Report, 2025 | Many companies view 2026 as the first year of large-scale development for Robotaxi, with plans for mass deployment. |
| SP003 | ResearchAndMarkets.com (GlobeNewswire press release; hosted by Yahoo Finance) | China Independent OEMs' ADAS and Autonomous Driving Research Report 2026 | In the same period, the proportion of high-level intelligent driving such as L2 and above doubled to 62.7%. |
| SP004 | CarNewsChina | Great Wall’s self-driving arm Haomo.AI collapses as company reports abrupt staff layoff, report says | At present, no official statement from Haomo.AI or Great Wall Motor has been released to clarify whether this is a temporary suspension, a complete dissolution, or a restructuring. |
| SP005 | IDTechEx via Robotics & Automation News | Research report: China’s ADAS market surges as full-stack solutions dominate | software-only ADAS startups are under increasing pressure, as automakers now prioritize cost-effective, full-stack partnerships over modular software offerings. |
| SP006 | Gasgoo | The next chapter for ADAS and smart cockpits丨Gasgoo Awards 2026 & China Automotive Industry Innovation Casebook | From January to April 2026, China's passenger vehicle ADAS component market maintained strong growth momentum, with installation volumes increasing steadily across key segments. |
| SP007 | TechCrunch | Backed by Chinese carmaker Great Wall, Haomo raises $14M for autonomous driving tech | Haomo is competing with a rank of Chinese AV upstarts that raised money from Western VCs, such as Pony.ai, WeRide, Momenta, Deeproute. |
| SP008 | Lei Mao | DriveGPT | Whether Haomo’s DriveGPT can really perform well remains a question. |
| SI001 | TechCrunch | Backed by Chinese carmaker Great Wall, Haomo raises $14M for autonomous driving tech | Haomo’s advantage is Great Wall’s involvement. Being cradled by a major auto original equipment manufacturer (OEM) provides it with the revenues needed to fund expensive R&D |
| SI002 | Research and Markets | L3/L4 Autonomous Driving and Startups Research Report, 2025 | some L4 autonomous driving companies were forced to exit or make strategic adjustments due to financial pressures. |
| SI003 | Yicai Global | Great Wall Motor-Backed Self-Driving Unicorn Haomo.AI Stops Work, Report Says | has halted operations until further notice |
| SI004 | Robotics & Automation News, reporting IDTechEx analyst Shihao Fu | Research report: China’s ADAS market surges as full-stack solutions dominate | In 2024, the number of new contracts signed by software-only vendors dropped 37 percent year-on-year. |
| SI005 | Gasgoo | The next chapter for ADAS and smart cockpits丨Gasgoo Awards 2026 & China Automotive Industry Innovation Casebook | cost optimization and large-scale production capabilities have become critical competitive factors. |
| SI006 | APA Engineering | China Implements Stricter Regulations on OTA Updates and Autonomous Driving Features | Manufacturers must now report any system malfunctions, failures, or accidents related to driver-assistance technologies to MIIT and SAMR. |
| SI007 | 36Kr, authorized republication of BT Finance | After FSD Enters Chinese Market: Which is More Reliable - Tesla, Huawei or Momenta? | The hardware cost of Huawei ADS's lidar solution is significantly higher than that of the pure vision solution. |
| SI008 | Lei Mao | DriveGPT | running DriveGPT on a car SoC in real time might just be too challenging, given how costly it is for running inference for generative GPT models. |
| SE001 | 36Kr | After FSD Enters Chinese Market: Which is More Reliable - Tesla, Huawei or Momenta? | Their differences are not about "usability" but rather: in different scenarios, which one is more likely to fail and in what way. |
| SE002 | Lei Mao | DriveGPT | DriveGPT focuses on behavior planning and local planning. |
| SE003 | Robotics & Automation News | Research report: China’s ADAS market surges as full-stack solutions dominate | software-only ADAS startups are under increasing pressure, as automakers now prioritize cost-effective, full-stack partnerships over modular software offerings. |
| SE004 | Gasgoo | The next chapter for ADAS and smart cockpits丨Gasgoo Awards 2026 & China Automotive Industry Innovation Casebook | Key metrics now include long-tail scenario handling, driver takeover frequency, path-planning reliability, and end-to-end response efficiency. |
| SE005 | 36Kr (republished and adapted by KrASIA) | Haomo.AI hits crossroads amid leadership shakeup and tech setbacks | Over four years, Haomo.AI launched two production-ready advanced driver assistance solutions: map-free navigate-on-autopilot (NOA) for highway scenarios and memory-based driving and parking features. |
| SE006 | Friendly Auto / ML-Vehicle | Haomo.AI Faces Internal Shake-Up Amid Mounting Business Challenges | Its products include map-free highway NOA (Navigation on Autopilot), memory driving, and automated parking features. |
| SE007 | TechCrunch | Backed by Chinese carmaker Great Wall, Haomo raises $14M for autonomous driving tech | Haomo’s ADAS solutions, which come with features like automatic braking and lane changing, have powered more than 20 vehicle models and amassed some 120 million kilometers of driving, the company said. |
| SE008 | Research and Markets | L3/L4 Autonomous Driving and Startups Research Report, 2025 | Facing commercialization challenges, these companies face technical, cost, and policy constraints in scaling up, resulting in insufficient data and limited cost reductions |
| SU001 | EqualOcean | Autonomous Driving Company Haomo Secures CNY 300 Million in Series B2 Financing | Currently, Haomo has launched the third-generation passenger vehicle assisted driving product HPilot, which has been mass-produced in nearly 20 models, accumulating nearly 25 million kilometers of user-assisted driving mileage. ... Through cooperation with Wumart, Xiao Motuo has delivered over 120,000 orders to residents in more than 60 communities in Shunyi Mapo District, Beijing. |
| SU002 | ChinaPEV | HAOMO.AI announces the completion of over 100 million yuan in B1 round financing | As of February 2024, HAOMO.AI’s passenger car intelligent driving product HPilot has been equipped on more than 20 models, and the user-assisted driving mileage has exceeded 120 million kilometers. |
| SU003 | BusinessKorea | Hyundai's Strategic Entry into Chinese EV Market with AI-enhanced Model | The upcoming EV will incorporate Haomo's "DriveGPT" technology, an autonomous driving system that utilizes generative AI similar to ChatGPT. |
| SU004 | Yicai Global | Great Wall Motor-Backed Self-Driving Unicorn Haomo.AI Reportedly Halts Operations | Haomo.AI notified employees on Nov. 22 that they will be on leave from yesterday, Red Star Media reported, citing staff members. The company did not specify the reason for the suspension, nor when operations will resume. |
| SU005 | DataM Intelligence | China Autonomous Last-Mile Delivery Market | The China Autonomous Last-Mile Delivery Market size in 2026 is estimated at USD 6.05 billion. |
| SU006 | Gasgoo | The next chapter for ADAS and smart cockpits丨Gasgoo Awards 2026 & China Automotive Industry Innovation Casebook | From January to April 2026, China's passenger vehicle ADAS component market maintained strong growth momentum, with installation volumes increasing steadily across key segments. |
| SU007 | The Automotive Data | ADAS and Autonomous Driving Tier 1 Suppliers in China: Seven Development Trends in the Era of Assisted Driving 2.0 | These competencies allowed domestic Tier 1 suppliers to gradually gain a dominant position in the market. |
| SU008 | Robotics & Automation News | Research report: China’s ADAS market surges as full-stack solutions dominate | In 2024, 52 percent of their total vehicle sales supported L2+ functionality. |
| SU009 | Robotics International | Meituan, JD.com Deploy 12,000 Autonomous Delivery Units in Q2 2026 | Meituan operated 8,400 autonomous delivery vehicles across 47 Chinese cities by June 2026, according to company filings, making the food delivery giant the country's largest commercial deployer of ground-based delivery robots. |
| SR001 | DLA Piper | China: New guidance on data transfer and identification of important data in the automotive sector | On 3 February 2026, the Ministry of Industry and Information Technology (MIIT), the sectoral regulator of the automotive sector, and the Cyberspace Administration of China (CAC), the designated data regulator, together with six other government authorities, published the Guidance for the Secure Cross-Border Transfer of Automotive Data (2026 Edition). |
| SR002 | State Council Information Office of China | China releases security guide on cross-border automobile data transfers | The guide, jointly issued by eight government departments including the Ministry of Industry and Information Technology (MIIT), is structured in four parts, covering general provisions, rules for identifying important data in typical auto-industry scenarios, the data export process, and security protection requirements. |
| SR003 | CMS | MIIT and SAMR Further Strengthening the Administration of Automobile Product Admission, Recall, and OTA Software Upgrade for Intelligent and Connected Vehicles | The Notice requires that additional technical parameters related to CDAS and OTA upgrade as listed in Annex 2 of the Notice (“Additional Technical Parameters”) shall be incorporated into the main technical parameters of ICV (“Main Technical Parameters”). |
| SR004 | Mint | China eyes Level 3 autonomy rollout by 2026, tightening grip on assisted-driving tech after fatal Xiaomi crash | The Xiaomi incident has triggered increased scrutiny, with Beijing determined to prevent the overpromotion of these systems' capabilities. |
| SR005 | TechCrunch | Backed by Chinese carmaker Great Wall, Haomo raises $14M for autonomous driving tech | Haomo has been focusing on developing Level 2 advanced driver assistance systems for passenger cars, mostly selling to its largest shareholder Great Wall, a major manufacturer of SUVs and pickup trucks in China. |
| SR006 | Robotics & Automation News | Research report: China’s ADAS market surges as full-stack solutions dominate | In 2024, the number of new contracts signed by software-only vendors dropped 37 percent year-on-year. |
| SR007 | ArenaEV | China's Haomo delivers affordable ADAS kits to speed up adoption | Starting at a mere RMB 3,000 ($410) these kits aim to become standard from budget cars to luxury vehicles, capitalizing on the delivering a surge in smart driving adoption. |
| SR008 | arXiv | DriveGPT: A Scalable Behavior Model for Autonomous Driving | We evaluate DriveGPT across different scales in a planning task, through both quantitative metrics and qualitative examples, including closed-loop driving in complex real-world scenarios. |
| SR009 | TwoBirds | APAC Employment Law – Year In Review - China | On 4 September 2025, the General Office of the Ministry of Human Resources and Social Security issued the Guidelines on Compliance in Implementing Non-compete Restrictions (“Guidelines”). |
| SV001 | CompaniesMarketCap | Pony AI (PONY) - Market capitalization | As of October 2026 Pony AI has a market cap of $2.23 Billion USD. |
| SV002 | KrASIA | Haomo.ai halts operations as employees told not to report to work | Haomo.ai, the driving assistance technology company backed by Great Wall Motor (GWM), has abruptly halted operations after instructing all employees to stop reporting to work starting November 24, according to internal notices shared by staff with Chinese media. |
| SV003 | Gasgoo | Haomo.ai's Xiaomotuo completes 200,000 orders in autonomous delivery milestone | On July 21, Haomo.ai, the autonomous driving technology arm of Great Wall Motor, announced that its unmanned terminal goods delivery vehicle, Xiaomotuo, has completed over 200,000 delivery orders, further accelerating the commercialization of end-to-end autonomous logistics. |
| SV004 | CNEVPost | Chinese startup Haomo raises nearly $150 million in new funding, becoming latest self-driving unicorn | Great Wall Motor-backed Haomo announced today that it has raised nearly RMB 1 billion ($150 million) in Series A funding, making it another Chinese self-driving unicorn. |
| SV005 | TechCrunch | Backed by Chinese carmaker Great Wall, Haomo raises $14M for autonomous driving tech | Haomo.ai, an autonomous driving startup backed by Chinese automaker Great Wall Motor, has raised 100 million yuan, or $14 million, from a fresh round of funding, it said today. |
| SV006 | IDTechEx via Robotics & Automation News | Research report: China's ADAS market surges as full-stack solutions dominate | In 2024, the number of new contracts signed by software-only vendors dropped 37 percent year-on-year. |
| SV007 | Gasgoo Automotive Research Institute via Gasgoo | The next chapter for ADAS and smart cockpits丨Gasgoo Awards 2026 & China Automotive Industry Innovation Casebook | Hesai Technology ranked first with 456,986 units installed (35.0% share), while Huawei Technologies followed closely with 398,057 units (30.5% share). |
| SV008 | Yicai Global | Chinese L4 Autopilot Firm Haomo.AI Scores USD41.4 million in Series B2 | Haomo.AI, a Chinese autonomous driving startup backed by Great Wall Motor, has secured CNY300 million (USD41.4 million) in its Series B2 round of funding two months after finishing the B1 round. |
| SV009 | Gasgoo | Haomo.ai launches autonomous driving large model, DriveGPT | Up to now, Haomo.ai's HPilot system has already been installed onto nearly 20 models. The company’s users have helped it achieve an HPilot intelligent driving distance exceeding 40 million kilometers. |