World Labs
Public productization and financing are now clear, but revenue, customer scale, governance, and post-close terms still lag the strategic signal.
World Labs now has real product and strategic-exit momentum, but the public record still lacks enough commercial and governance disclosure to underwrite the business with conviction at current prices.
Coverage and disclosure
The report reflects public evidence available through 2026-10-16. World Labs now has visible commercial surfaces and a signed AMD transaction, but the record still leaves key operating and ownership details undisclosed.
Cover facts
Company profile
World Labs builds a spatial-intelligence platform centered on Marble, the World API, and Atlas, aiming to turn multimodal inputs into persistent, editable, exportable 3D worlds. The company has moved from stealth into a visible commercial phase with paid packaging, public launches, and a signed AMD acquisition, but it still does not disclose revenue, customer concentration, or post-close commercial continuity.
- Website
- www.worldlabs.ai
- Founders
- Fei-Fei Li, Justin Johnson, Christoph Lassner, Ben Mildenhall
- Founding location
- San Francisco, California, USA
- Headquarters
- San Francisco, California, USA
- Product
- Marble creator workflows, the World API developer platform, and the Atlas model family for persistent 3D world generation, editing, export, and downstream integration.
- Customers
- Creators, studios, developers, and simulation-adjacent enterprise teams
- Business model
- Self-serve subscriptions, usage-based API credits, and custom enterprise packaging
- Stage
- late-stage private
- Funding status
- About $1.23B disclosed capital raised; February 2026 $1B round and pending AMD acquisition
Executive summary
Top strengths
- Strong founding team and strategic backing from AMD and Autodesk
- Real productization across Marble, World API, and Atlas
- Rapid milestone cadence from launch to financing to acquisition agreement
Top risks
- Revenue, ARR, gross margin, and customer-scale disclosure remain absent
- Pending AMD close leaves product continuity and post-close terms uncertain
- Enterprise security, governance, and renewal evidence are still thin
- Valuation looks rich relative to the public commercial proof
Open gaps
- Audited or management-confirmed revenue, ARR, gross margin, and burn-rate data for Marble and the World API
- Named production customers with contract scope, renewal evidence, and separation of pilot activity from scaled deployments
- Confirmed post-close pricing continuity and product-term commitments through the AMD transaction
- Board structure, control rights, and dilution details around the February 2026 round and strategic investors
Contents
01Company Overview
1.1 Identity, product surface, and what is actually public
Public sources agree on the broad business description: World Labs is building spatial-intelligence software around persistent, navigable 3D worlds, with Marble as the main product surface and the World API as the programmable interface for developers. The current documentation and launch materials support a concrete product story -- text, image, video, panorama, and coarse 3D inputs become editable 3D worlds that can be rendered on the web or exported into downstream tools. What is less cleanly settled is the company identity itself. HokAI's October 2026 profile says World Labs was founded in January 2024 in San Francisco by Fei-Fei Li, Justin Johnson, Christoph Lassner, and Ben Mildenhall, while a Silicon Valley Invest Club profile lists a 2017 founding year for the same business. That conflict is material because later diligence on team velocity, capital efficiency, and valuation step-ups depends on whether the company should be treated as a 2024 startup or as a longer-running effort whose public emergence simply came later.[CO001, CO002, CO003, CO004, CO005, CO010, CO011, CO014]
| Metric | Value/status | Date | Confidence | Gap |
|---|---|---|---|---|
| Stage / ownership status | Pending AMD acquisition; World Labs remains standalone until close | 2026-09-28 | Medium | Deal is signed but still subject to regulatory approvals and closing conditions. |
| Pending deal valuation | ~$8.2B all-stock transaction | 2026-09-28 | Medium | Price is tied to a pending transaction, not a closed control event. |
| Total disclosed funding | ~$1.23B | 2026-02-18 | Medium | Derived from disclosed rounds only; cap-table detail remains private. |
| Last financing | $1B round; Autodesk invested $200M strategically | 2026-02-18 | Medium | Public materials do not disclose full commercial rights or post-money mechanics. |
| Revenue / ARR | Not publicly disclosed | 2026-10 | Medium | Assigned sources support commercialization but not a defendable top-line figure. |
| Customer count | Not publicly disclosed | 2026-10 | Low | No source in the assigned pool names a current paid-customer count. |
| Headcount | 50-100 to 50-200 in third-party profiles; exact figure undisclosed | 2026-10 | Low | Only proxy ranges are public, and they should not be treated as exact headcount. |
Mixes disclosed figures with explicit null paths; undisclosed metrics are left as status statements rather than inferred numbers.
[CO007, CO008, CO009, CO011, CO014]1.2 Leadership, funding, and the ownership transition
The core leadership picture is clearer than the founding-date record. Across current third-party profiles, Fei-Fei Li remains the central operating and narrative figure, with Johnson and Mildenhall still positioned as product and technical leaders around the AMD transaction. The September 2026 agreement to sell World Labs to AMD for about $8.2 billion in stock is the defining ownership event in the current refresh cycle, and the transaction matters beyond price because it reframes World Labs from a venture-backed standalone platform into a research-and-product asset inside a semiconductor company if it closes. Funding history is directionally strong but still incomplete in governance detail: the public record supports about $1.23 billion of disclosed capital raised, including a $1 billion round announced on February 18, 2026, but it does not provide a public shareholder register, board composition, control rights, or full commercial terms around strategic investors such as Autodesk and AMD.[CO004, CO006, CO007, CO008, CO009]
| Person | Role / status | Background | Founder-market fit / functional coverage | Key-person dependency |
|---|---|---|---|---|
| Fei-Fei Li | CEO and co-founder; expected to become AMD EVP and chief scientist if the deal closes | Stanford AI researcher; ImageNet creator per HokAI | Sets the category narrative and anchors recruiting, funding access, and external credibility | Very high: public identity and post-close reporting line both concentrate around Li. |
| Justin Johnson | Co-founder; quoted publicly on Marble and described as continuing to lead the World Labs team | Worked on generative models at Stanford per HokAI | Bridges research commercialization, product positioning, and creator use cases | High: product credibility and launch messaging are repeatedly tied to Johnson. |
| Christoph Lassner | Co-founder | Built the Pulsar renderer at Meta Reality Labs and Epic Games per HokAI | Adds rendering and 3D systems depth that fits World Labs' explicit 3D product strategy | Medium: less public-facing than Li or Johnson, but central to graphics execution. |
| Ben Mildenhall | Co-founder; described by HokAI as continuing to lead the team post-deal | Co-created NeRF at Google Research per HokAI | Strengthens the world-model and view-synthesis research base behind Marble and Atlas | High: technical continuity through the AMD transition appears to depend partly on retained founders. |
Covers the named founders and current leaders visible in assigned public sources; board membership and independent governance are not publicly enumerated here.
[CO004, CO005, CO006]| Stakeholder | Role | Control or economic importance | Diligence ask |
|---|---|---|---|
| AMD | Pending acquirer and prior investor/technical partner | Signed definitive all-stock deal at about $8.2B and would absorb the company if approvals clear | Verify closing conditions, integration plan, and any changes to product roadmaps or customer terms before close. |
| Autodesk | Strategic investor | Accounted for $200M of the February 2026 round and received an advisory role per Sacra | Confirm whether distribution, exclusivity, or roadmap commitments accompany the investment. |
| Fei-Fei Li | CEO, co-founder, and post-close AMD executive-designate | Central management figure whose role ties together strategy, fundraising, recruiting, and public trust | Request board materials, retention terms, and succession coverage below Li. |
| Andreessen Horowitz | Early institutional backer | Led or featured prominently in the September 2024 stealth-exit financing per public profiles | Clarify ownership percentage, pro-rata behavior, and governance influence after the 2026 round. |
| NVIDIA | Strategic/financial investor | Named among 2026 investors while also operating adjacent physical-AI platforms | Separate passive financial exposure from any commercial or competitive overlap. |
This is a partial public stakeholder map built from disclosed investors and control-relevant counterparties; it is not a full cap table or governance chart.
[CO007, CO008, CO009]1.3 Milestone cadence and the remaining diligence gaps
The milestone cadence is real and unusually compressed. World Labs moved from an early public research moment in late 2024 to RTFM in October 2025, public Marble availability in November 2025, the World API in January 2026, SceniX in July 2026, Atlas in September 2026, and a signed AMD deal later that same month. That pace supports the view that this is not a pre-product story anymore. At the same time, the strongest adverse evidence in the assigned pool is not about product absence; it is about commercial opacity. Independent analysts still say World Labs has disclosed no revenue or ARR despite charging for Marble, offering paid API credits, and attracting both a $5 billion private-round valuation discussion and an $8.2 billion pending exit. Later chapters should therefore treat customer scale, exact headcount, board oversight, and post-close pricing continuity as live diligence items rather than facts established by this chapter.[CO003, CO007, CO010, CO011, CO012, CO013, CO014]
Public sources show a dense sequence of launches, financing, acquisition, and ownership events from late 2024 through September 2026.
Stealth exit and first large financing [CO003, CO009]
Early 'Generating Worlds' public milestone [CO012]
RTFM preview [CO012]
Marble became publicly available [CO003]
World API launch [CO001, CO012, CO013]
New funding announced [CO008, CO009, CO012]
SceniX acquisition announced [CO012]
Atlas introduced [CO012]
1.4 Exhibits
02Market Analysis
2.1 Market boundary and substitutes
World Labs' own surfaces define the category as spatial intelligence and world models for virtual and physical worlds, not a generic generative-AI bucket. The included workflows are persistent 3D world creation, editing, export, and simulation across creator, developer, and industrial use cases. The practical substitutes are video-first generation, flat-image tools, and incumbent 3D pipelines that do not deliver editable, explorable worlds from multimodal prompts. That boundary matters because World Labs is trying to win where 3D persistence, camera control, and downstream export are more valuable than raw content novelty.[CM001, CM002, CM003]
| Segment / category | Included spend / workflow | Excluded spend / workflow | Buyer / payer | Relevance |
|---|---|---|---|---|
| Spatial-intelligence foundation models | Model and product spend for systems that perceive, generate, reason about, and interact with 3D or physical worlds. | Generic LLM copilots or flat-image generation with no world output. | AI labs, strategic platforms, and investors. | Sets the category boundary World Labs uses in product and investor messaging. |
| Creator 3D world creation | Subscription spend for explorable, persistent 3D scenes generated from text, images, video, panoramas, or coarse layouts. | Pure 2D image or video tools with no editable 3D export. | Individual creators, studios, and prosumer teams. | Current self-serve wedge for Marble. |
| Developer platform / API | Usage-based spend for programmable 3D world generation inside apps and internal workflows. | One-off manual content creation with no API dependency. | Product and platform engineering teams. | Separate monetization rail through World API. |
| Enterprise design / digital twin | Budgets for design, simulation, reality capture, and digital-twin workflows that benefit from 3D reasoning and exports. | Chatbots or generic office automation budgets. | Design-software, AEC, manufacturing, and innovation leaders. | Autodesk's rationale points directly at this segment. |
| Robotics and simulation | R&D spend on controllable simulated environments for robot training, testing, and real-to-sim workflows. | Generic robotics hardware spend without simulation software. | Robotics research and autonomy teams. | Roadmap expansion area, not yet proven as broad revenue. |
| Status-quo substitutes | Existing game engines, DCC/CAD tools, and video-first generation tools. | Spend that never needs editable, persistent 3D worlds. | The same teams already using incumbent 3D pipelines. | Defines the switching-cost hurdle World Labs must clear. |
Boundary rows mix official positioning with analyst interpretation of what each workflow includes or excludes; they describe spend categories, not measured market totals.
[CM001, CM002, CM003, CM004, CM009, CM010]2.2 Evidence-constrained sizing lenses
Public evidence supports market lenses, not a clean TAM/SAM/SOM stack. The clearest numeric signals are self-serve packaging, a usage-priced API, and strategic capital from Autodesk and other investors. Those numbers show that World Labs can lower trial friction for creators and developers while attracting large strategic attention from design and physical-world incumbents. They do not show recurring revenue, active customer counts, renewal behavior, or penetration by segment, so any broader market-size claim would be speculative and should remain a diligence gap.[CM006, CM007, CM011, CM012]
| Lens | Publisher / year | Geography | Value | CAGR | Methodology / what it measures | Confidence | Limitation |
|---|---|---|---|---|---|---|---|
| Free creator entry | World Labs / TechCrunch, 2025-2026 | Global | 4 world generations | Free Marble tier for low-friction creator trial. | Medium | Plan limit is not buyer count, revenue, or TAM. | |
| Standard creator plan | TechCrunch, 2025 | Global | $20 per month; 12 generations | Public paid self-serve package for individual or small-team users. | Medium | No public conversion, retention, or seat-count data. | |
| Pro creator plan | TechCrunch, 2025 | Global | $35 per month; 25 generations | Adds scene expansion and commercial rights for higher-intent creators. | Medium | Still packaging evidence, not segment demand. | |
| Max creator plan | TechCrunch, 2025 | Global | $95 per month; 75 generations | Highest disclosed self-serve plan and usage cap. | Medium | Ceiling on public plan access, not enterprise willingness to pay. | |
| Developer API floor | HokAI, 2026 | Global | $1 per 1,250 credits; $5 minimum | Usage-priced API entry point for developers. | Medium | No public consumption benchmarks or contract-volume data. | |
| Strategic enterprise signal | Autodesk / Construction Dive, 2026 | Global | $200M strategic investment | Proxy for partner conviction in design and physical-world AI demand. | Medium | Financing is not customer spend or recurring revenue. | |
| Capital narrative | Winzheng, 2026 | Global | $1.23B total capital raised | Investor-conviction proxy used because public TAM and revenue are absent. | Low | Capital raised is not market size, SAM, or SOM. |
Null CAGR means the source did not publish a growth rate or the row is a commercialization proxy rather than a true market series. Numeric lenses are source-backed but do not share a common denominator.
[CM006, CM007, CM011, CM012]Public numbers describe commercialization layers from strategic conviction to self-serve access, not a comparable TAM/SAM/SOM stack.
Layer widths indicate hierarchy, not quantitative proportions.
Layers are ordered by commercialization specificity, not by comparable market magnitude. Public sources mix financing and package limits rather than a shared demand denominator, so widths indicate ordering only.
Capital narrative [CM011, CM012]
Strategic enterprise signal [CM004, CM011]
Max creator tier [CM006]
Pro creator tier [CM006]
Standard creator tier [CM006]
Free creator entry [CM006]
2.3 Buyer, user, and payer map
The public packaging already separates at least three buyer paths. Creators and small teams can trial Marble directly via free and paid subscriptions; developers can buy World API credits separately for programmable workflows; and enterprise design, VFX, gaming, digital-twin, or robotics teams are asked to adopt through existing 3D pipelines or early partner access. Export support for game engines, DCC tools, CAD/modeling software, and VR devices lowers switching cost versus closed video outputs, but Atlas itself remains gated, so the broadest enterprise thesis is still ahead of open commercial proof.[CM005, CM006, CM007, CM008, CM009, CM010]
| Segment | Buyer | User | Payer | Workflow | Budget owner | Adoption trigger |
|---|---|---|---|---|---|---|
| Individual creators | Individual creator | Artist or designer | Personal or team card | Generate exploratory 3D worlds from prompts, images, or panoramas. | Self-serve software spend | Low-friction trial and experimentation |
| Small creative teams | Studio lead or production manager | Artists, world builders, and editors | Creative-tool budget | Prototype scenes, backgrounds, and camera-ready environments. | Creative operations or production | Faster asset creation with exportable 3D outputs |
| Developers / product teams | Product or platform engineering lead | Developers | Product or cloud budget | Call World API from apps and internal workflows. | Engineering or platform leadership | Need programmable 3D world generation |
| AEC / design / digital-twin teams | Innovation or design-software leader | Designers and engineers | Workflow or transformation budget | Use 3D reasoning, simulation, and exports in built-environment workflows. | Design or engineering leadership | Interoperability with existing 3D tools plus Autodesk alignment |
| Robotics / simulation teams | Robotics R&D lead | Simulation and ML engineers | Research budget | Build controllable simulated worlds for training and testing. | Robotics or research leadership | Need synthetic environments for real-to-sim work |
Rows summarize buyer pathways visible in public product, press, and analyst sources; budget owners are inferred from the workflow each source describes rather than from named customer contracts.
[CM005, CM006, CM007, CM008, CM009, CM010]2.4 Growth drivers, constraints, and unresolved sizing gaps
Adoption drivers are strongest where teams already care about 3D persistence, camera control, and interoperability: design and digital twin workflows, game and VFX asset creation, developer tooling, and robotics simulation. Constraints are equally visible. TechCrunch reports skepticism in gaming around IP, energy use, and quality, while independent analysis flags unresolved post-AMD pricing continuity and no public Atlas pricing or named early-access partners. Because public evidence still lacks named production customers, revenue, or independent demand totals, this chapter can support a market thesis but not a defensible market-share model.[CM011, CM012, CM013, CM014, CM015, CM016]
2.5 Exhibits
03Competitors
3.1 Competitive landscape and substitute set
The direct startup peer set in retained evidence is narrower than the broader “AI 3D” label suggests. Runway, Decart, and Odyssey are the most relevant venture-backed comparables because they are all being financed around world-model or adjacent generative-media infrastructure, while Google DeepMind and Nvidia represent incumbent research and platform pressure rather than clean startup comps. Autodesk and the established DCC/game-engine stack matter as status-quo substitutes because many buyers can still solve the same creation or simulation job by staying inside incumbent tools and only adding generative layers selectively. That framing matters because World Labs is not competing only against other startup demos. It is competing against a mature workflow stack that already owns designers, animators, and simulation teams, plus well-funded model builders that can afford to move fast. Public evidence therefore supports a landscape where World Labs is clearly in the top tier of funded spatial-intelligence startups, but not obviously alone in product direction or capitalization, and less proven commercially than the best-disclosed peer in the set.[CP005, CP009, CP010, CP011, CP012, CP013]
| Competitor | Category | Scale / funding signal | Target segment | Differentiation signal | Limitation / unknown |
|---|---|---|---|---|---|
| World Labs | Direct startup | ~$1.23B raised; reported ~$5B valuation | Creators, developers, simulation-adjacent buyers | Persistent downloadable 3D worlds; multimodal input; native editing and export | Revenue, customer count, and enterprise contract terms undisclosed |
| Runway | Direct startup | $315M raised; $5.3B valuation; roughly $300M ARR | Creative and generative-media teams | Strongest disclosed commercialization in retained peer set | Retained sources do not show equivalent persistent downloadable 3D-world positioning |
| Decart | Direct startup | $300M raised; nearly $4B valuation | Real-time world-model users | Well-funded world-model rival | Public pricing, customers, and workflow depth not disclosed in retained sources |
| Odyssey | Direct startup | $310M raised; $1.45B valuation | Interactive world-model / API users | API-first world-model positioning | Commercial traction and workflow detail not disclosed in retained sources |
| Google DeepMind / Genie 3 | Incumbent lab | Public-company-backed research platform | Research, interactive 3D, frontier AI users | Deep research depth and public Genie 3 release | Standalone pricing and buyer workflow not disclosed in retained sources |
| Nvidia / Cosmos | Incumbent platform | Public-company platform; roughly 2M downloads for Cosmos by mid-2026 | Robotics, synthetic-data, simulation users | Distribution through AI and robotics ecosystem | Broader platform, not a like-for-like startup product comp |
| Autodesk + status-quo DCC stack | Incumbent / substitute | $200M strategic investment plus entrenched design workflow ownership | Design, media, entertainment, architecture users | Controls downstream tooling that many buyers already use | Partnership scope with World Labs is exploratory, not proven channel lock-in |
Mixes direct peers, incumbent labs/platforms, and status-quo substitutes because buyers can solve the same job via startup products, incumbent stacks, or internal workflows; funding and valuation figures are third-party reported, and missing fields remain unknown rather than inferred.
[CP005, CP009, CP010, CP011, CP012, CP013]3.2 Product scope and buyer tradeoffs
World Labs’ strongest public differentiation is that Marble is already framed as a commercial product rather than just a research preview. Across the official docs, launch blog, and TechCrunch review, Marble is presented as a persistent, downloadable, editable 3D world generator that accepts text, image, video, panorama, and coarse 3D inputs, then exports assets back into downstream creative workflows. That makes it easier to understand where the product fits relative to manual 3D authoring, game engines, or pure research demos: it is positioned as an acceleration layer for world creation, not a full replacement for the rest of the production stack. The tradeoff is that public capability breadth is ahead of public commercial proof. Buyers can see list pricing, visible community/gallery surfaces, and anecdotal use cases, but they still cannot see disclosed customer counts, renewal data, or realized enterprise economics. In other words, World Labs has made product evaluation easier than business-model evaluation. That leaves feature breadth as a real wedge, while pushing the hardest underwriting questions into diligence.[CP001, CP002, CP003, CP004, CP005, CP007, CP008, CP015]
| Buying criterion | World Labs | Direct peer signal in retained sources | Status quo / incumbent alternative | Implication |
|---|---|---|---|---|
| Persistent downloadable worlds | Yes; positioned as persistent and downloadable | Not evidenced for cited peer demos/previews in retained sources | Manual 3D pipelines can produce persistent assets, but slowly | World Labs' clearest product-level wedge |
| Multimodal input | Text, image, video, panorama, and coarse 3D structure | Not fully disclosed across retained peer sources | Internal build can combine tools, but with more workflow overhead | Broader entry points for different creator workflows |
| Native editing / structure control | Edit, expand, compose, and Chisel structure controls | Unknown in retained peer sources | Manual DCC tools still offer deepest explicit control | World Labs optimizes fast iteration rather than final-authoring depth |
| Export / pipeline compatibility | Gaussian splats, meshes, videos, VR links, DCC integration | Unknown in retained peer sources | Incumbent stack already owns final delivery and file formats | Lower switching cost, but weaker lock-in |
| Public pricing / commercial proof | List pricing public; customer economics private | Runway ARR disclosed; others mostly private in retained sources | Existing software stacks have mature procurement patterns | World Labs is easier to trial than to underwrite |
| Robotics / simulation adjacency | Reported World API integrations with Isaac Sim, MuJoCo, and RoboSuite | Nvidia is structurally strong in simulation tooling | In-house simulators remain an alternative for advanced teams | Adjacency widens opportunity but can diffuse focus |
“Unknown” means the retained source set does not support a cell; this matrix compares only surfaced evidence, not the full market. Status-quo columns reflect alternative ways to solve the same job rather than direct startup feature parity.
[CP001, CP002, CP005, CP007, CP008, CP013, CP014]| Option | Public price signal | Unit / contract model | Included capabilities | Known unknowns | Competitive implication |
|---|---|---|---|---|---|
| Marble Free | Free | 4 generations | Text, image, or panorama generation | Enterprise support, retention, and conversion data unknown | Low-friction top-of-funnel wedge |
| Marble Standard | $20/month | 12 generations | Adds multi-image/video input and advanced editing | Realized discounting and overages unknown | Accessible prosumer entry price |
| Marble Pro | $35/month | 25 generations | Adds scene expansion and commercial rights | No public evidence on team/seat packaging | Targets small commercial creators before enterprise procurement |
| Marble Max | $95/month | 75 generations | All features at highest self-serve tier | Volume economics and margin profile unknown | Upper self-serve bound still looks modest versus enterprise software budgets |
| World API | Public access, but retained sources do not disclose price | Pay-per-use API | Asynchronous 3D world generation for developer use | Contract minimums, SLAs, and volume pricing unknown | Enterprise moat depends on terms the public record does not show |
| Peer / incumbent alternatives | Not disclosed in retained sources | Varies across startup APIs, incumbent software seats, and internal build | Depends on vendor or internal workflow | No normalized TCO comparison in retained evidence | Buyer comparison likely centers on workflow fit before price |
This table separates published list pricing from unknown realized economics. Peer and incumbent pricing stays “unknown” because the retained source set does not support a normalized apples-to-apples comparison.
[CP003, CP004, CP013, CP016]World Labs plots high on workflow breadth but only mid-tier on public commercialization proof because pricing is visible while revenue and customer metrics are not.
- X: Workflow control / pipeline fit
- low: demo / narrow
- high: editable / pipeline-ready
- description: Ordinal score from retained evidence on editing, export, and workflow integration.
- scale: ordinal
- Y: Public commercialization proof
- low: limited proof
- high: strong disclosed proof
- description: Ordinal score from retained evidence on pricing, customers, revenue, or distribution evidence.
- scale: ordinal
| Item | Workflow control / pipeline fit (1–5) | Public commercialization proof (1–5) | Context |
|---|---|---|---|
| 1. World Labs | 4 | 3 | |
| 2. Runway | 4 | 5 | |
| 3. Decart | 3 | 3 | |
| 4. Odyssey | 3 | 2 | |
| 5. Google DeepMind / Genie 3 | 2 | 4 | |
| 6. Nvidia / Cosmos | 4 | 4 |
Ordinal scoring synthesizes retained evidence rather than vendor-reported benchmarks: World Labs scores high on editing/export breadth and mid on commercialization because list pricing is public but revenue and customer counts are not; Runway scores highest on proof due to cited ARR; Decart and Odyssey score from funding and positioning with limited public economics; Google DeepMind and Nvidia score on incumbent research or platform reach instead of startup monetization.
[CP004, CP005, CP009, CP010, CP011, CP013]3.3 Distribution leverage, switching cost, and lock-in
The Autodesk relationship is strategically important less because it proves revenue today and more because it validates where World Labs wants to sit in the stack. TechCrunch describes the partnership as exploratory, with media and entertainment first and no data-sharing commitment, which means it is best read as distribution optionality and incumbent validation rather than a locked-in reseller channel. Combined with the official emphasis on mesh export, DCC integration, browser sharing, and VR delivery, the evidence points to World Labs trying to slide into existing pipelines instead of forcing users to abandon them. That lowers adoption friction, but it also constrains moat claims. If customers still finish their work inside Autodesk tools, Blender/Maya/3ds Max, Unity, Unreal, or robotics simulators, then World Labs benefits from incumbent distribution while remaining exposed to incumbent imitation or bundling. Switching costs may rise if teams build repeatable workflows around Marble-generated worlds, but the retained public record still does not show the contract, retention, or workflow-embeddedness evidence needed to call that durable lock-in.[CP006, CP008, CP014, CP016]
3.4 Moat durability verdict
On the current public record, World Labs looks differentiated enough to win attention, partnerships, and experimentation, but not yet differentiated enough to claim an unassailable moat. The company has enormous capital, a strong founding team, and a product surface that is broader than the demo-stage peers cited in retained sources. At the same time, Runway already has the clearest disclosed commercialization in the peer set, and Google DeepMind plus Nvidia can pressure the category from much larger platform positions. The result is a market structure where World Labs may be ahead on product packaging and workflow fit, but still competes in a category that is rapidly attracting adjacent incumbents, direct startup rivals, and internal-build substitutes. The most important disconfirming fact is not technical parity; it is the absence of public revenue, customer-count, renewal, and enterprise-pricing disclosure. Until those metrics are visible, moat durability remains a plausible thesis rather than a demonstrated outcome.[CP009, CP011, CP012, CP013, CP014, CP016]
3.5 Exhibits
04Financials
4.1 Public monetization surfaces exist, but realized pricing does not
World Labs now has two clearly public commercial surfaces: the Marble application and the World API. Official product material shows Marble as a persistent 3D-world creation workflow rather than a demo viewer, and World Labs' November 2025 launch post moved the product from beta to general availability. Third-party pricing coverage adds useful packaging detail: HokAI says Marble runs from a free plan capped at four world generations through a Max plan capped at 75, with separate enterprise packaging, while the API is sold on a fixed credit schedule. What remains missing is the reader's core underwriting bridge: no retained source discloses actual subscription price points for each Marble tier, realized discounts, revenue mix between app and API, or conversion from free usage into paid revenue.[CI002, CI003, CI008, CI009, CI016]
| Stream | Mechanism | Unit | Current value / status | Quality | Diligence ask |
|---|---|---|---|---|---|
| Marble subscriptions | Self-serve creator app for generating, editing, and exporting persistent 3D worlds | Plan / world-generation allowance | Free through Max tiers plus custom enterprise packaging are public; exact dollar prices are not in retained evidence | Packaging is visible, but realized ASP and discounts are unknown | Request plan price sheet, paid-seat counts, upgrade funnel, and enterprise mix |
| World API | Developer credit purchases for the same generation engine | Credits | 1,250 credits per $1, $5 minimum purchase, credits do not expire | Public unit pricing is visible, but usage-to-revenue conversion is undisclosed | Request active developers, monthly credit consumption, and gross margin per workload |
| Enterprise / custom contracts | Negotiated commercial terms attached to Marble enterprise plans | Contract / minimum commit | Enterprise availability is disclosed, but scope, services, and pricing are not | Suggests larger-ticket motion without ACV or services burden disclosure | Request standard order form, services attachments, and minimum annual commitments |
Built from retained official product surfaces plus HokAI's packaging summary; rows mark public packaging visibility separately from undisclosed realized pricing and revenue mix.
[CI002, CI008, CI009]| Offer | Price / unit / contract | List vs realized pricing | Discounts / unknowns | Source |
|---|---|---|---|---|
| Marble Free | Up to 4 world generations; no commercial rights | Usage cap disclosed, dollar price inherently zero | Conversion rate into paid tiers is unknown | HokAI |
| Marble Standard | Up to 12 world generations | Tier exists, but retained evidence does not include list price | No public ASP, discount, or seat information | HokAI |
| Marble Pro | Up to 25 world generations; adds commercial rights and textured mesh export | Feature and usage cap disclosed, list dollar price absent | No evidence on realized price, negotiated discounts, or attach rates | HokAI |
| Marble Max | Up to 75 world generations | Tier exists, but retained evidence does not include list price | No public evidence on who buys Max or whether limits are soft | HokAI |
| World API | 1,250 credits per $1; $5 minimum purchase; credits do not expire | Exact public unit price disclosed | No evidence on volume breaks, enterprise commits, or effective realized pricing | HokAI |
Retained evidence provides usage caps and API credit pricing but not the Marble pricing page's dollar amounts, so unknowns are preserved rather than estimated.
[CI008, CI009]Public evidence shows how multimodal creation flows into subscriptions or API credit purchases, but not how those surfaces convert into realized revenue or gross profit.
| Node / Connection | Node / from | To | Context |
|---|---|---|---|
| Node 1 | Customer inputs [inputs] | Text, image, video, panorama, or rough 3D layout Official surfaces describe multimodal creation as the entry point. | |
| Node 2 | World generation [generate] | Draft ~20 sec; world ~5 min Docs expose a public time-to-output proxy for compute intensity. | |
| Node 3 | Edit / expand / compose [refine] | Iterative world-building workflow Extra editing steps likely raise workload intensity, but no public price-per-action exists. | |
| Node 4 | Export / downstream use [export] | Meshes, videos, VR links, and development assets Usable downstream output is the customer value bridge, not just one-off generation. | |
| Node 5 | Marble subscriptions [app] | Free / Standard / Pro / Max / enterprise Packaging and generation caps are public; retained sources do not include dollar amounts. | |
| Node 6 | World API credits [api] | 1,250 credits per $1; $5 minimum API credits are a separate wallet from Marble app usage. | |
| Node 7 | Revenue to gross profit [gp] | Public bridge unavailable No retained source discloses realized pricing, revenue mix, gross margin, or cash collection. | |
| Connection 1 | Customer inputs [inputs] | World generation [generate] | Users submit multimodal prompts to create a world. |
| Connection 2 | World generation [generate] | Edit / expand / compose [refine] | Customers edit, expand, and combine scenes before delivery. |
| Connection 3 | Edit / expand / compose [refine] | Export / downstream use [export] | Value crystallizes when scenes are exported or integrated into downstream workflows. |
| Connection 4 | Export / downstream use [export] | Marble subscriptions [app] | Creator usage maps to Marble plan limits and enterprise packaging. |
| Connection 5 | Export / downstream use [export] | World API credits [api] | Developer workflows map to separate credit purchases through the API. |
| Connection 6 | Marble subscriptions [app] | Revenue to gross profit [gp] | Subscription-to-gross-profit conversion is not publicly disclosed. |
| Connection 7 | World API credits [api] | Revenue to gross profit [gp] | Credit-sales-to-gross-profit conversion is not publicly disclosed. |
This is a qualitative commercial bridge, not a revenue waterfall: retained sources do not disclose transaction volumes, realized pricing, or margin conversion.
[CI002, CI004, CI008, CI009, CI016]4.2 Unit economics are mostly inferential because public cost and volume data are thin
The strongest public cost-structure proxy is operational rather than financial. World Labs' own documentation lists generation times from roughly 20 seconds for a draft to around one hour for a high-quality mesh export, implying compute-heavy and likely variable service-delivery cost by workflow. Public traction evidence is also directional, not underwritable: StartupHub says World Labs already has paying customers across gaming, visual effects, robotics training, and architectural design, while HokAI describes self-serve free-plan onboarding for Marble and separate account funding for the API. Even the burn proxy is unstable because public headcount signals conflict, with StartupHub citing 150 employees while HokAI lists a 50-100 team range. That combination supports commercial activity, but not a defendable CAC, payback, or gross-margin model.[CI004, CI010, CI014, CI015, CI016]
| Metric | Value / null | Confidence | Why it matters | Diligence ask |
|---|---|---|---|---|
| Public revenue / ARR | Not disclosed | Low | Revenue quality cannot be underwritten without product-level topline and growth | Monthly revenue, ARR, growth, deferred revenue, and product mix by Marble vs API |
| Paying-customer proof | Paying customers reported across gaming, visual effects, robotics training, and architectural design; customer count undisclosed | Medium | Confirms some monetization breadth but not scale, concentration, or renewal quality | Production customer list, contract size, renewal status, and pilot-to-production conversion |
| Compute / service-delivery proxy | Docs list ~20 sec draft generation, ~5 min world generation, and ~1 hr high-quality mesh export | High | Long-running exports imply potentially meaningful GPU and support cost variability | Cost per generation/export, infrastructure burden, support load, and gross margin by workflow |
| Team-size proxy | Conflicting public proxies: 150 employees vs 50-100 team | Low | Staffing ambiguity makes burn and fixed-cost estimates unreliable | Verified FTE count by function, contractor mix, and payroll run-rate |
| Cash / runway | $1B funding announced in Feb 2026; current cash balance and monthly burn not disclosed | Medium | Round size alone does not reveal how much capital remains or how fast it is consumed | Cash on balance sheet, monthly burn, debt, lease obligations, and board runway plan |
| Pricing continuity through AMD close | Post-close Marble and API terms not publicly committed | Medium | Renewal risk limits confidence in LTV, contract duration, and buyer willingness to commit | Change-of-control language, grandfathering policy, and product roadmap through closing |
This is intentionally a diligence-oriented snapshot: retained sources expose only indirect proxies for economics, so nulls mark missing public data rather than zero values.
[CI004, CI010, CI011, CI012, CI013, CI014, CI015, CI016]4.3 Capital availability looks strong on paper, but runway cannot be verified
Public financing visibility is much better than operating visibility. World Labs' February 2026 funding announcement says the company raised $1 billion from a syndicate that included AMD, Autodesk, Emerson Collective, Fidelity Management & Research Company, NVIDIA, and Sea. Forbes adds that Autodesk contributed $200 million and took a strategic advisory role, while Bloomberg previously reported an approximately $5 billion round valuation that the company declined to confirm. The September 2026 AMD transaction announcement creates a second capital support vector: Ars and HokAI both describe an about-$8.2 billion all-stock acquisition agreement targeted to close by year-end, subject to approval. That backdrop materially lowers the odds of a near-term emergency capital raise, but it still does not reveal cash on hand, monthly burn, working-capital needs, or debt obligations.[CI005, CI006, CI007, CI011, CI012]
4.4 Financial verdict: compelling strategic funding story, insufficient underwriting data
The retained evidence supports a credible revenue architecture and a much stronger balance-sheet narrative than the June 2026 report had, but not a full underwriting case. Marble and the API give World Labs visible monetization rails, and the company appears to have reached at least some paid usage across multiple verticals. However, the most important investor-grade inputs remain absent from the public record: revenue, ARR, gross margin, burn, cash, customer concentration, renewal behavior, and any clear statement of post-close contract continuity. The right financial conclusion is therefore not that the business lacks traction, but that public evidence still cannot separate product promise from durable economics. Treat capital dependency as buffered in the short term and underwriting quality as still diligence-blocked.[CI008, CI009, CI010, CI011, CI012, CI013]
4.5 Exhibits
05Product & Technology
5.1 Product surface and user workflow
The clearest delivered product is Marble, not Atlas. Across the product site, public docs, and the launch post, World Labs consistently describes Marble as a creator workflow for turning text, images, video, panoramas, and coarse 3D structure into persistent 3D environments that can then be edited, expanded, composed, recorded, and exported. That matters because it anchors the company in a practical workflow—scene creation and manipulation—rather than an abstract “world model” claim. The evidence also shows a split between what is usable today and what is still being staged for later rollout: Marble is broadly exposed through the web product and documentation, while Atlas is presented as early access and “coming to Marble soon,” which suggests World Labs is commercializing with a staged product ladder rather than a single fully generalized platform release.[CE001, CE002, CE003, CE008, CE009, CE014]
| Module / asset | Primary user | Status / maturity | Differentiation | Diligence gap |
|---|---|---|---|---|
| Marble core world generation | Creator / designer / artist | Public product | Persistent 3D worlds from text, image, video, panorama, and coarse 3D inputs | Need public data on output quality, failure rates, and production usage |
| Chisel 3D structure mode | Advanced creator / designer | Experimental mode inside Marble | Lets users block out coarse 3D structure and then style it with prompts | Need evidence on adoption, precision, and asset import limits |
| Studio compose and record tools | Power users / content teams | Documented workflow | Supports composing multiple worlds and recording cinematic flythroughs | Need API or workflow details for team collaboration and versioning |
| Atlas world model | Select partners / future Marble users | Early access / not broadly productized | Omni model spanning text, images, video, and 3D with spatial-context generation | Need model evals, access terms, and separation from current Marble capability |
Status reflects the assigned public source pool as of 2026-10-16; it separates documented product surface from early-access roadmap and leaves unsupported adoption detail as diligence asks.
[CE001, CE002, CE004, CE005, CE007, CE014]| User job | Current workflow | World Labs solution | Measurable benefit | Limitation |
|---|---|---|---|---|
| Rapid scene ideation | Start from text or a single image | Marble creates a full 3D world from text or image prompts | Shortest documented path into a persistent world | Model still invents unseen detail and public quality benchmarks are absent |
| Higher-control scene creation | Supply multiple images, panorama, video, or coarse 3D structure | Marble stitches multimodal inputs into one world and Chisel lets users define structure | More control over layout and spatial consistency than one-shot prompting | No public precision metrics for reconstruction fidelity or edit accuracy |
| Iterative world editing | Use pano edit, click-and-expand, variation, or object/layout edits | Marble exposes AI-native editing, world expansion, and style changes | Lets users refine a world after generation instead of restarting from scratch | Independent validation of reliability and artifact rates is limited |
| Downstream content deployment | Share, view in VR, export development assets, meshes, or recorded flythroughs | Studio and export paths move scenes into external tools and presentations | Makes the output more usable than a closed video-only demo | No public integration, pricing-efficiency, or enterprise governance detail in this pool |
Benefits are workflow-level and supported by product/documentation text; where the public record lacks performance or deployment evidence, the limitation column preserves that uncertainty explicitly.
[CE001, CE002, CE003, CE006, CE007, CE008, CE009]5.2 Architecture, operating model, and roadmap linkage
Public technical detail is strongest at the system-description level. Atlas is described as a multimodal autoregressive diffusion transformer that grounds text, images, video, and 3D inputs into a shared spatial context; Marble is the product layer that packages that world-model capability into creation, editing, and export workflows. Together, the sources imply a stack with three layers: multimodal capture and prompting, spatial-context model inference, and downstream rendering/export surfaces such as splats, meshes, and recorded flythroughs. The product roadmap is also explicit that Atlas is intended to power future Marble versions, so current commercial surface area should be treated as a productization wrapper around a still-scaling model family rather than a frozen architecture.[CE004, CE005, CE006, CE007, CE010]
| Layer / component | Role | Dependency | Risk |
|---|---|---|---|
| Prompt and capture inputs | Text, single image, multi-image, panorama, video, or coarse 3D structure define the initial world context | User-supplied content quality and supported upload flows | Sparse or low-quality inputs can force imagination where exact reconstruction is desired |
| Spatial context model core | Atlas publicly describes a multimodal autoregressive diffusion transformer grounded in 3D spatial context | Large-scale training compute plus multimodal/world-model inference stack | No public Marble paper, independently reproduced Atlas evaluation, or architecture-level performance envelope |
| Interactive control layer | Chisel, editing, expansion, composition, and recording convert model output into controllable creator workflows | Product UX, scene-editing tools, and model responsiveness | Independent evidence on edit reliability, collaboration, and rollback controls is thin |
| Output and runtime layer | Worlds can be exported as Gaussian splats, meshes, videos, VR links, or development assets | Renderer/export toolchain and downstream engine compatibility | Public sources do not quantify export fidelity, asset cleanup burden, or enterprise support obligations |
This table reconstructs the operating stack from public system descriptions; it is not a code-level architecture disclosure and therefore keeps hidden internals as explicit diligence risk.
[CE002, CE003, CE004, CE005, CE007, CE010]Marble commercializes a layered world-creation workflow while Atlas sits underneath as the next-generation model core.
- Input and capture layer
- User-provided conditioning and reference material.
- Items
- Text prompt
- Single image
- Multiple images
- Panorama
- Video clip
- Coarse 3D structure
- Spatial context model layer
- Publicly described model and world-building core.
- Modules
- Atlas multimodal autoregressive diffusion transformer
- Shared spatial context grounding
- World generation
- Spatial reconstruction
- Space-time simulation
- World representation layer
- Persistent scene representations bridge generated views and explicit 3D output.
- Modules
- Image frames
- Depth maps
- Point clouds
- Gaussian splats
- Control and editing layer
- Creator tooling that turns model output into editable scenes.
- Modules
- Chisel structure controls
- Pano edit
- Click and expand
- Compose
- Record
- Marble product layer
- The documented web interface packages generation and editing into creator workflows.
- Modules
- Gallery
- Create
- Worlds
- Studio
- Output and delivery layer
- User-facing outputs and destinations.
- Outputs
- Persistent 3D worlds
- Gaussian splats
- Triangle meshes
- Videos
- VR experiences
- Development assets
The stack is reconstructed from public product and blog descriptions rather than from source code, internal diagrams, or benchmarking disclosures.
[CE002, CE003, CE004, CE005, CE007]5.3 Maturity, differentiation, and technical risks
The differentiation story is credible but not yet fully de-risked. Independent coverage supports that Marble’s key distinction is persistent, downloadable 3D worlds with AI-native editing and structure control, which is a more operationally useful output than ephemeral 2D world demos. At the same time, independent observers also note that public technical disclosure is thin: there is no public Marble paper, Atlas benchmark discussion is company-authored rather than independently reproduced, and evidence on control, planning, or reliability under production conditions is limited. World Labs documents creator-facing generation times and desktop/mobile constraints, but the assigned source pool does not surface public security, privacy, certification, or uptime materials. That leaves the chapter’s core judgment unchanged: the product is specific enough to believe, but the technical diligence burden remains high before underwriting broad enterprise, robotics, or platform claims.[CE006, CE010, CE011, CE012, CE013, CE015]
5.4 Exhibits
06Customers
6.1 Customer evidence starts with creators, technical teams, and developers
The public record in this pool points first to creator and technical users rather than classic procurement-led enterprise accounts. World Labs' own Marble Labs hub says it is for "artists, engineers, and designers" and frames public case studies around gaming, VFX, design, robotics, and health systems. The docs reinforce that positioning by organizing the product around Gallery, Create, and Studio, while Technology Magazine says the World API lets developers integrate generation into programmable workflows. Taken together, the visible customer base looks like a mix of self-serve creators, studios, developer teams, and experimental technical users, with the clearest proof concentrated in creative production and developer-adjacent use cases.[CU001, CU003, CU006, CU007, CU008, CU009, CU010]
| Segment | Buyer / user / payer | Use case | Scale signal | Revenue / strategic value | Gap |
|---|---|---|---|---|---|
| Self-serve creators | Individual creators and small teams are the visible users; payer appears to be app subscribers | Generate, edit, and export 3D worlds from prompts or media | General availability, community gallery, and paid tiers are publicly visible | Shows a monetizable top-of-funnel and repeat project surface | No public paid-subscriber count or segment revenue mix |
| Film / VFX / virtual production | Studios, production teams, and creator collaborators | Previsualization, virtual sets, cinematic environments, and production workflows | Promise, Lightcraft + Beeble, OpenArt, and HTC VIVE case-study headlines | Best named customer proof in the assigned pool | Production depth, contract scope, and renewals are undisclosed |
| Gaming / immersive builders | Game creators, multiplayer builders, and interactive-world teams | Playable spaces, browser-native worlds, and creator-led virtual design | WithLore, Rosebud AI, VIVERSE, and Unreal-oriented case-study headlines | Supports engine/export narrative and creator expansion loops | No disclosed paid seat counts, MAU, or customer concentration |
| Developers / platform builders | Developer teams using programmatic workflows; payer likely API credit buyers or business accounts | Embed world generation into code-based applications | World API release cited in independent coverage | Expands addressable base beyond the Marble UI | No public API customer count, credit consumption, or enterprise terms |
| Robotics / simulation explorers | Technical researchers and simulation-oriented teams | Synthetic environments for robotics and embodied-agent training | Founder interview and independent coverage cite robotics simulations as an intended use case | Longer-term expansion vector if workflow proof matures | No named production robotics customer in the assigned pool |
Strategic value is qualitative because the assigned pool does not disclose segment revenue, contract size, or customer-count splits.
[CU001, CU006, CU008, CU009, CU010]Public evidence supports a creator-led adoption path from discovery to export/API use, but the durable enterprise step remains underdocumented.
This is a surfaced workflow map, not a conversion funnel; the assigned pool does not disclose stage-to-stage conversion rates.
[CU001, CU002, CU003, CU006, CU007, CU008, CU009, CU012, CU013, CU014, CU015]6.2 Adoption signals are real, but the disclosed metrics remain thin
World Labs has more customer-proof than a stealth research lab, but less than a mature software vendor. The company blog says Marble progressed from an early beta cohort to general availability for anyone, and both Stanford Tech Review and TechCrunch describe a priced commercial product rather than a waitlist-only demo. Docs and the gallery show browsing, sharing, VR viewing, and export paths that make repeat project usage plausible. Even so, the clearest numeric adoption datapoint in the assigned pool is secondhand: an ICMR case study says Marble had 3,000+ users as of December 2025. Public materials do not disclose current active users, paid conversion, API usage, or segment mix, so visible momentum is easier to prove than present scale.[CU002, CU004, CU005, CU006, CU007, CU011]
| Metric | Value | Date | Source | Confidence | Implication | Missing denominator |
|---|---|---|---|---|---|---|
| Access stage before launch | Early beta cohort | 2025-11 | World Labs blog | Medium | There was live usage before broad launch | Beta-user count and retention are not disclosed |
| Commercial availability | Generally available for anyone to use | 2025-11 | World Labs blog | High | Top-of-funnel access widened beyond a limited preview | No current active-user or paid-conversion disclosure |
| Product packaging | Freemium plus paid plans | 2025-11 / 2026-09 | TechCrunch; Stanford Tech Review | High | Marble is sold like a commercial product rather than a research demo | Current subscriber counts and plan mix are undisclosed |
| Sharing / export surfaces | Browser links, VR links, development assets, DCC files, and mesh export | Current docs snapshot | World Labs docs | High | The workflow is designed to move outputs into external tools and collaborators' hands | No disclosed usage frequency or export volume |
| Developer channel | World API released for programmable workflows | 2026 | Technology Magazine | Medium | World Labs is trying to broaden usage beyond the web app | No API customer count, credit burn, or expansion metrics |
| Public user count | 3,000+ users | 2025-12 | ICMR case study | Medium | There was at least some measurable post-launch usage | Secondhand figure; no current active, paid, or retained-user denominator |
This table mixes current product-surface evidence with launch-era and case-study references; where public sources stop at packaging or a dated user figure, the denominator gap is stated explicitly.
[CU002, CU004, CU005, CU006, CU007, CU011]6.3 Named proof favors creative collaborations, while durability is still unproven
The named references World Labs publishes are useful but should be scored carefully. Marble Labs names Promise, Magnific, OpenArt, HTC VIVE, Escape.ai, WithLore, Rosebud AI, VIVERSE, James C. Kane, and a joint Lightcraft/Beeble example, which is enough to show real external usage conversations and workflow experiments. However, those headlines do not confirm production status, contract value, renewal behavior, or expansion. Independent sources in this pool also stay cautious: ICMR says there were still questions about product-market fit and scaled industry adoption, while the broader external coverage emphasizes packaging, category creation, and early creative use cases more than customer durability. Public evidence therefore supports adoption interest and workflow relevance, but not customer concentration, retention, or enterprise depth.[CU009, CU012, CU013, CU014, CU015]
| Customer | Segment | Deployment / use case | Production vs pilot | Outcome | Limitation |
|---|---|---|---|---|---|
| Promise | Film / virtual production | Transform archival imagery into immersive 3D environments for Harlan Coben's Final Twist | Production status not confirmed in assigned pool | Shows a named workflow example in media production | Only a company-published case-study headline is provided here |
| Lightcraft + Beeble | Virtual production / VFX | Indie filmmaking workflow for a zombie movie | Production status not confirmed in assigned pool | Shows a multi-tool collaboration around cinematic worldbuilding | No contract scope, deployment depth, or renewal evidence |
| Magnific | Creative tools / design | Product scenes, lighting, and campaign visuals | Production status not confirmed in assigned pool | Shows design-oriented workflow relevance | No disclosed user count, spend, or recurring usage |
| OpenArt | Creative tools / film | Turn a single image into a persistent 3D environment for creators to explore and frame | Production status not confirmed in assigned pool | Shows creator-facing storytelling use case | No proof of scaled production deployment |
| HTC VIVE | Virtual production / VFX | Real-time AI-generated 3D environments | Production status not confirmed in assigned pool | Shows headset and immersive-media adjacency | Case-study headline does not disclose commercial terms |
| Escape.ai | Immersive media | Turn cinematic worlds into navigable 3D spaces | Production status not confirmed in assigned pool | Shows adjacent platform integration narrative | No disclosed revenue, renewals, or rollout breadth |
| WithLore | Gaming / web-native worlds | Built ICARE in two months using Marble and Spark 2.0 | Production status not confirmed in assigned pool | Shows speed-to-build story for small teams | No evidence of ongoing spend or long-term retention |
| Rosebud AI | Gaming / multiplayer | Generative worlds and AI-assisted game tools for faster collaborative creation | Production status not confirmed in assigned pool | Shows multiplayer and creator-collaboration positioning | No proof of production scale or expansion revenue |
| James C. Kane | Creator / narrative worldbuilding | Latest production in collaboration with World Labs | Production status not confirmed in assigned pool | Shows named creator collaboration | Individual collaboration is not equivalent to enterprise customer proof |
| VIVERSE | Gaming / interactive 3D worlds | Creator-led worldbuilding and virtual design | Production status not confirmed in assigned pool | Shows interactive-world positioning | No contract value, account scale, or renewal evidence |
These are the named external organizations and creator collaborations visible on the fetched Marble Labs page; they prove public references, not production depth or retention.
[CU009, CU015]6.4 Exhibits
07Risks
7.1 Ranked risk stack
The most material near-term risk is not demand; it is continuity. World Labs has signed a definitive agreement to join AMD for an all-stock transaction that still requires regulatory approval and is only expected to close before the end of 2026. At the same time, an independent profile notes that neither side has publicly said what happens to Marble or World API terms after closing, while the same source says Atlas is early access and intended to power future Marble versions. That creates a live transition risk for anyone underwriting multi-quarter product usage, pricing, or roadmap stability. The second risk cluster is enterprise readiness: public materials reviewed by HokAI say World Labs has not published model cards or a responsible scaling policy, lists no SOC 2 or ISO 27001 certification, and describes training use of user-submitted content with only an opt-out mechanism. The third cluster is operational maturity: Marble's own docs still quote multi-minute generation times, a one-hour high-quality mesh export, and desktop-only dependence for some advanced workflows, while TechCrunch's launch review still described edge morphing and prompt-quality inconsistency.[CR001, CR002, CR004, CR005, CR006, CR007, CR008, CR009, CR012]
The highest-risk cells cluster around continuity through the AMD transition and the public absence of enterprise-grade governance evidence.
Matrix labels are analyst synthesis from cited evidence; they summarize ordinal risk judgments rather than measured probabilities.
[CR001, CR002, CR005, CR006, CR007, CR009, CR011, CR012]7.2 Regulatory, legal, and governance exposure
The legal and governance picture is not one of disclosed litigation or enforcement, but of material public unknowns. The AMD transaction itself cannot be treated as a closed fact until regulators clear it, so diligence has to test closing timing, remedies, and any product or customer-contract implications of the ownership change. Separately, the public privacy-and-security posture leaves unanswered questions for enterprise use cases that could involve proprietary footage, design files, or simulation data. HokAI's review says uploads may be used for model training, benchmarking, and product development unless customers opt out, and it found no public model cards, responsible scaling policy, SOC 2, ISO 27001, or bug bounty. Those are not proof of a hidden defect, but they are real diligence gaps because the business is selling a tool that asks users to upload valuable content into a frontier-model workflow.[CR001, CR004, CR005, CR006]
| Risk | Jurisdiction / surface | Current public status | Likelihood | Severity | Public mitigation evidence | Residual exposure | Diligence path |
|---|---|---|---|---|---|---|---|
| AMD acquisition closing risk | Merger review and customer-contract continuity | Definitive agreement signed; close expected before end-2026 and still subject to regulatory approval | Medium | High | Public timeline plus existing AMD working relationship | High until approval and product-term continuity are explicit | Confirm review jurisdictions, remedies, change-of-control clauses, and product roadmap ownership |
| Data-use and privacy-control risk | User uploads, training rights, and customer IP handling | Public summary says uploads may be used for model training, benchmarking, and product development with opt-out | Medium | High | Opt-out mechanism is publicly described | High for enterprise users with sensitive content | Review full privacy policy, DPA terms, retention controls, and enterprise carve-outs |
| Security assurance and governance gap | Enterprise security, auditability, and model-governance disclosure | Public materials reviewed by HokAI show no responsible scaling policy, model cards, SOC 2, ISO 27001, or public bug bounty | Medium | High | Responsible disclosure contact exists | High because public trust signals are still thin | Request audits, pen-test summaries, subprocessor list, and governance artifacts |
Partial public-risk register synthesized from assigned sources; severity and residual exposure are analyst judgments based on cited evidence, and absence of a public case filing or incident in this pool is not proof of absence.
[CR001, CR004, CR005, CR006]7.3 Operational execution and dependency risk
Product readiness still looks early relative to the ambition of serving gaming, VFX, design, robotics, and developer workflows at once. World Labs' own materials stress that product feedback is a core part of improving Marble, which is consistent with a platform still learning from usage rather than one already stabilized around a narrow enterprise workflow. The docs also show that the heaviest export step remains slow and some advanced features are still desktop-only, limiting adoption in teams that need predictable turnaround or mobile review paths. TechCrunch's hands-on launch review adds another execution signal: Marble looked strong enough to impress, but it still showed edge morphing and prompt-result inconsistency. Finally, the company is becoming more dependent on AMD as owner, investor, and hardware partner at the same time that outside commentary flags uncertainty on future openness of formats and product terms.[CR002, CR007, CR008, CR009, CR010, CR011, CR012, CR014, CR015]
| Failure mode | Evidence | Likelihood | Severity | Mitigation maturity | Residual exposure | Unresolved gap |
|---|---|---|---|---|---|---|
| Output consistency still imperfect | TechCrunch reported that scenes morphed at the edges and that an earlier beta result matched intent more closely than the same launch prompt | Medium | High | Medium; World Labs keeps shipping product updates and editing controls | Medium-high until quality metrics are disclosed | No public defect-rate, retention, or enterprise-acceptance data |
| Slow production workflow for heavy outputs | Docs say world creation is about 5 minutes, expansion about 5 minutes, and high-quality mesh export about 1 hour | High | Medium | Medium; current workflow is documented and productized | Medium because turnaround may still block scaled production use | No public SLA, queue priority, or throughput benchmarks |
| Desktop dependence for advanced usage | Docs say some advanced creation and editing features are not yet supported on mobile and recommend desktop for the full experience | Medium | Medium | Low-medium | Medium for distributed review workflows | No public timeline for mobile feature parity |
| Enterprise security readiness unclear | Public profile notes no listed SOC 2 or ISO 27001 certification and no public bug bounty | Medium | High | Low | High until independent assurance exists | No public audit reports or customer security references in this pool |
Risk rows combine official docs, product launch reporting, and governance commentary; mitigation-maturity labels distinguish documented product availability from proven enterprise operating discipline.
[CR005, CR007, CR008, CR009, CR010]| Dependency | Counterparty / surface | Role | Concentration | Failure scenario | Severity | Mitigation | Residual exposure |
|---|---|---|---|---|---|---|---|
| Ownership transition | AMD | Acquirer, investor, and hardware partner | High | Closing delay or post-close reprioritization disrupts Marble and World API continuity | High | Existing relationship predates the deal; product remains available today | High until public post-close commitments exist |
| Hardware and compute strategy | AMD GPU stack | Training and inference optimization plus strategic hardware alignment | High | Product roadmap becomes more tightly coupled to one hardware ecosystem | Medium-high | World Labs says closer hardware integration can improve efficiency and scale | Medium-high because concentration still rises after closing |
| Format and ecosystem openness | Downstream toolchain and third-party developers | Export formats and integrations help external tooling build on Marble outputs | Medium | Future terms or format changes reduce portability and ecosystem goodwill | Medium-high | Current outputs are exportable as splats, meshes, or video | Medium because future openness remains an explicit open question |
| Platform migration to next model generation | Atlas into Marble | Future model upgrade path | Medium | Migration changes pricing, behavior, or support before users have stable baselines | Medium | Atlas is being staged via early access rather than forced on everyone at once | Medium because scope and timing are not yet public |
This register focuses on dependencies disclosed in the assigned source pool. It does not quantify customer or supplier concentration because no public concentration metrics were retained for this chapter.
[CR001, CR002, CR011, CR012, CR015]7.4 Mitigations, monitoring indicators, and kill criteria
The mitigation playbook is straightforward but evidence-heavy. Before treating the risk stack as manageable, investors or customers should require explicit post-close commitments on Marble and World API pricing, support, export rights, and roadmap ownership; evidence of independent security assurance or formal customer controls; and product-level metrics showing that generation quality and turnaround are production-usable rather than demo-usable. The strongest public positive is that Marble already exists as a commercial product with exportable outputs and a broad set of use cases, which means these risks are attached to a real platform instead of a research-only preview. The cleanest thesis-break signals would be a delayed or conditional acquisition that disrupts product continuity, terms changes that reduce portability or customer rights, a meaningful security or privacy incident, or continued inability to show commercial metrics and enterprise controls after the AMD transition narrative is complete.[CR001, CR002, CR003, CR006, CR007, CR009, CR011, CR012, CR013]
7.5 Exhibits
08Valuation
8.1 Public price support improved, but standalone underwriting is still thin
Public financing context is directionally better than it was in the prior report: multiple independent profiles now converge on a February 2026 round of roughly $1 billion and on a reported valuation around $5 billion, while HokAI says the later signed AMD transaction at about $8.2 billion is the only valuation either side has put in writing. That matters because it shows real strategic demand for the asset, not just venture enthusiasm. The underwriting problem is that the February round's exact post-money, preference stack, and dilution consequences remain undisclosed, and Value Add VC explicitly notes that the company never confirmed the ~$5 billion figure in public. For a minority investor, a signed strategic M&A price is also not the same thing as a clean contemporaneous venture entry mark with known rights, timing, and downside protections.[CV001, CV002, CV003, CV010, CV011]
| Decision lens | Assessment | Evidence-backed implication |
|---|---|---|
| Recommendation | track | Public evidence supports continued monitoring and diligence rather than chasing a priced entry today. |
| Confidence | medium | Sources agree on financing and product facts but not on disclosed economics or a confirmed standalone private mark. |
| Risk rating | high | The asset now has strategic-exit support, but valuation and ownership context still outrun public commercial disclosure. |
| Valuation stance | expensive | The reported ~$5B February 2026 mark was never confirmed publicly and the ~$8.2B AMD price is strategic M&A rather than a clean minority-entry benchmark. |
| Entry discipline | price-sensitive only | Re-underwrite only with verified revenue quality, named scaled customers, and round-term clarity, or at a materially better effective entry price. |
Public evidence supports direction and relative discipline, not a precise target return or fully disclosed private-round economics.
[CV002, CV004, CV010, CV011, CV013, CV014]8.2 Product proof is visible, but commercial proof is still the missing bridge
World Labs has crossed an important threshold from research story to shippable product: official materials and TechCrunch show Marble as a public commercial offering with paid tiers, downloadable outputs, multiple input modes, and a separate developer API. That supports the thesis that the company has turned world-model research into something buyers can try today. It does not yet support a high-conviction valuation case. Public sources still do not disclose revenue, customer counts, retention, gross margin, or named scaled deployments, and both HokAI and Silicon Valley Invest Club state that no revenue figure is public. Value Add VC's comparison is the sharpest external benchmark: Runway reportedly reached roughly $300 million ARR before or around a similar valuation band, while World Labs remains valued primarily on team quality, product potential, investor signal, and strategic optionality.[CV004, CV005, CV006, CV007, CV008, CV009, CV012, CV013]
| Argument | Evidence today | What would change the view |
|---|---|---|
| Founding team and research edge | Fei-Fei Li and the co-founders give World Labs unusual technical credibility and helped attract major capital quickly. | Keep positive unless attrition or post-acquisition integration weakens the core research team. |
| Product is real and monetized | Marble is live with paid tiers and exportable persistent 3D worlds while the World API is separately monetized. | Upgrade if paid adoption, named enterprise deployments, and renewal behavior become public. |
| Strategic investor signal is unusually strong | Autodesk committed $200 million and AMD later signed an ~$8.2B stock acquisition. | Upgrade only if those relationships translate into shipped products, durable contracts, or clearer monetization evidence. |
| Commercial opacity remains the core anti-thesis | Public sources still disclose no revenue, profitability, customer count, or confirmed standalone latest valuation. | Downgrade concern only with audited or management-confirmed revenue, margin, and customer-quality disclosure. |
The table separates thesis strength from the evidence still missing to convert strategic signal into underwritable economics.
[CV003, CV004, CV005, CV006, CV007, CV010, CV012, CV013]8.3 Recommendation stays track until revenue quality and deal economics are visible
The decision implication is not that World Labs lacks upside; rather, the public record still leaves too much unpriced uncertainty for a buy recommendation at strategic-takeout or late private-market optics. The bull case is that AMD closes near the announced value and the Autodesk relationship plus World API / Marble adoption eventually prove a category-defining infrastructure position. The base case is that the signed deal validates technology and team, but outside investors still cannot underwrite minority-entry returns because core economics and rights remain private. The bear case is that if the AMD close slips or strategic enthusiasm cools, the market re-anchors on the lack of disclosed revenue and customer proof. That keeps the right call at track, with diligence focused on revenue quality, named production customers, February 2026 round terms, and any pricing or contractual changes ahead of transaction close.[CV010, CV011, CV013, CV014, CV015]
| Scenario | Core assumptions | Valuation / return logic | Probability signal | Downside / trigger |
|---|---|---|---|---|
| Bull | AMD closes near the announced value and Marble plus the World API prove broad commercial pull across design and simulation workflows. | Strategic value remains closer to the signed ~$8.2B exit context than to the earlier reported private mark. | Positive if diligence uncovers real paid usage, Autodesk-linked distribution, and enterprise-grade customer references. | Breaks if strategic closing or product continuity weakens before economics are proven. |
| Base | The technology and team are validated but public economics stay opaque and minority investors still cannot price rights cleanly. | A new outside entry is hard to justify above the reported February 2026 private mark without verified revenue quality or better terms. | Most consistent with today's evidence because financing and product facts are public while monetization proof is not. | Remains capped by missing revenue, customer, gross-margin, and cap-table disclosure. |
| Bear | AMD timing slips or strategic enthusiasm fades before World Labs shows durable monetization. | Valuation could reset below the last reported private mark because the public record still lacks disclosed revenue and scaled customer proof. | More likely if the deal stalls, if pricing/terms change unfavorably, or if adoption remains demo-heavy. | Triggered by failed close, weak commercial evidence, or evidence that the company is spreading across markets without a winning wedge. |
The scenarios are qualitative because public evidence does not support a precise target-return model, terminal multiple, or cap-table-adjusted entry math.
[CV004, CV009, CV010, CV011, CV013, CV014, CV015]Strategic signal is strong, but missing public economics keeps the call at track rather than buy.
| Node / Connection | Node / from | To | Context |
|---|---|---|---|
| Node 1 | Technical credibility [technical-credibility] | Founding team, world-model thesis, and fast capital formation created an unusually strong starting signal. | |
| Node 2 | Product proof [product-proof] | Marble is commercial, exportable, and paired with a separately monetized World API. | |
| Node 3 | Strategic validation [strategic-validation] | Autodesk invested $200 million and AMD later signed an ~$8.2B stock acquisition. | |
| Node 4 | Economic opacity [economic-opacity] | Public sources still do not disclose revenue, customer count, or confirmed standalone latest valuation. | |
| Node 5 | Entry discipline [entry-discipline] | A strategic takeout price is not enough to price a new minority entry without cleaner economics and rights. | |
| Node 6 | Recommendation [recommendation] | Track / expensive / high risk until diligence closes the revenue, customer, and round-term gaps. | |
| Connection 1 | Technical credibility [technical-credibility] | Product proof [product-proof] | research became product |
| Connection 2 | Product proof [product-proof] | Strategic validation [strategic-validation] | product plus team attracted strategic capital |
| Connection 3 | Strategic validation [strategic-validation] | Economic opacity [economic-opacity] | signal improved faster than disclosure |
| Connection 4 | Economic opacity [economic-opacity] | Entry discipline [entry-discipline] | missing economics limit underwriting |
| Connection 5 | Entry discipline [entry-discipline] | Recommendation [recommendation] | price-sensitive decision |
8.4 Exhibits
Disclaimer
This report is a public-evidence diligence snapshot, not investment advice. Important financial, legal, technical, and contractual facts remain non-public and should be verified directly with management and primary documents before any investment decision.
Evidence index
| ID | Statement | Confidence | Sources |
|---|---|---|---|
| CO001 | World Labs launched the World API on January 21, 2026 as a public interface for generating explorable 3D worlds from Marble. | Medium | SO001 |
| CO002 | World Labs documents Marble as its first product and says it can reconstruct, generate, and simulate 3D worlds from text, images, video, and coarse 3D structures. | Medium | SO003 |
| CO003 | TechCrunch reported that Marble became publicly available on November 12, 2025 and launched with four subscription tiers ranging from free to $95 per month. | Medium | SO004 |
| CO004 | HokAI's October 2026 profile describes World Labs as a San Francisco company founded in January 2024 by Fei-Fei Li, Justin Johnson, Christoph Lassner, and Ben Mildenhall. | Medium | SO007 |
| CO005 | A Silicon Valley Invest Club profile instead lists World Labs as founded in 2017, directly conflicting with the 2024-founded profiles. | Low | SO009 |
| CO006 | If AMD's pending acquisition closes, Fei-Fei Li is expected to become AMD executive vice president and chief scientist while Justin Johnson and Ben Mildenhall continue to lead the World Labs team. | Medium | SO005, SO007 |
| CO007 | AMD and World Labs disclosed a definitive all-stock acquisition agreement valued at about $8.2 billion on September 28, 2026, with closing targeted by the end of 2026 subject to regulatory approvals. | Medium | SO005, SO007 |
| CO008 | World Labs' latest disclosed financing was a $1 billion round announced on February 18, 2026, and Autodesk said its strategic investment accounted for $200 million of that round. | Medium | SO005 |
| CO009 | Publicly disclosed funding totals about $1.23 billion when the February 2026 round is combined with the $230 million financing reported around World Labs' September 2024 emergence from stealth. | Medium | SO005, SO009 |
| CO010 | The assigned public sources show World Labs monetizing through Marble subscriptions, paid top-ups, separate World API credits, and custom enterprise plans. | Medium | SO005, SO006, SO007 |
| CO011 | Value Add VC says World Labs has disclosed no revenue or ARR publicly despite charging for Marble, launching the World API, and agreeing to the AMD deal. | Medium | SO008 |
| CO012 | World Labs' official blog chronology records milestone posts for the World API on January 21, 2026, SceniX on July 21, 2026, Atlas on September 1, 2026, and the AMD announcement on September 28, 2026. | Medium | SO002 |
| CO013 | World Labs says early World API partners included Preview for filmmaking plus Fenestra and xFigura for architecture workflows. | Medium | SO001 |
| CO014 | Current third-party profile services bracket World Labs' team size between 50-100 and 50-200 employees rather than providing a confirmed headcount. | Low | SO006, SO007 |
| CM001 | World Labs defines its market as spatial intelligence and world models for virtual and physical worlds rather than generic generative AI. | High | SM002, SM007 |
| CM002 | Marble commercializes that category by letting users create, edit, and export persistent 3D worlds from text, images, video, panoramas, and coarse 3D layouts. | High | SM005, SM006 |
| CM003 | The practical substitute set includes video-first generation and incumbent 3D pipelines that do not deliver editable, persistent world outputs from multimodal prompts. | Medium | SM008, SM009 |
| CM004 | Autodesk frames World Labs around design, simulation, and digital-twin workflows, which makes enterprise AEC and manufacturing buyers a credible target segment. | Medium | SM003, SM004 |
| CM005 | Public product packaging separates at least two monetization rails: Marble subscriptions for self-serve users and a separately billed World API for developers. | Medium | SM008, SM009 |
| CM006 | Marble's public self-serve plans span a free tier capped at four generations and paid tiers that scale to 75 generations. | Medium | SM008, SM009 |
| CM007 | The World API is sold separately at 1,250 credits per dollar with a $5 minimum purchase and no shared credit pool with Marble subscriptions. | Medium | SM008 |
| CM008 | Atlas is still in early access with select partners and no public price, so World Labs' most advanced enterprise-facing product is not yet broadly commercialized. | High | SM002, SM008, SM010 |
| CM009 | Official and independent sources position demand across gaming, film VFX, VR, design, and robotics-related simulation rather than a single vertical end market. | Medium | SM001, SM006, SM009, SM010 |
| CM010 | Export support for game engines, DCC tools, CAD/modeling software, and VR viewing lowers adoption friction for teams that already work inside 3D pipelines. | High | SM005, SM007, SM009 |
| CM011 | The strongest public commercial signal today is strategic capital, including Autodesk's $200 million investment within World Labs' roughly $1.0 billion to $1.23 billion 2026 financing narrative. | Medium | SM003, SM004, SM010 |
| CM012 | Public evidence does not support a true TAM, SAM, or SOM build because the available numbers describe packaging, pricing, and capital rather than segment demand or company revenue. | Medium | SM008, SM010 |
| CM013 | Adoption risk remains elevated because neither party in the AMD transaction has publicly clarified what will change for Marble or World API pricing and terms after close. | Medium | SM008 |
| CM014 | Procurement risk also remains elevated because Winzheng reports no disclosed Atlas pricing, no public availability date, and no named early-access partner list at launch. | Low | SM010 |
| CM015 | TechCrunch reports that gaming buyers still face generative-AI skepticism around intellectual property, energy use, and content quality. | Medium | SM009 |
| CM016 | Public sources still do not name production customers, recurring revenue, or segment-level contract volumes, so market-share estimates remain unverified. | Medium | SM008, SM010 |
| CP001 | World Labs' public product positioning emphasizes persistent, downloadable 3D worlds rather than purely on-the-fly world generation. | Medium | SP007, SP008 |
| CP002 | World Labs says Marble accepts text, image, video, panorama, and coarse 3D inputs and supports editing, expansion, composition, and export. | Medium | SP003, SP007 |
| CP003 | World Labs documents generation times of roughly 20 seconds for a draft, 30 seconds for pano creation from text or image, about 5 minutes for a world, and about 1 hour for a high-quality mesh. | Medium | SP003 |
| CP004 | TechCrunch reported four Marble subscription tiers: Free, Standard at $20 per month, Pro at $35 per month, and Max at $95 per month. | Medium | SP008 |
| CP005 | TechCrunch described Marble as ahead of cited competitors because it had already shipped a commercial world-model product with editable, downloadable output. | Medium | SP008 |
| CP006 | TechCrunch reported that Autodesk and World Labs planned to start their collaboration with media and entertainment workflows and that the precise integration form was still undetermined. | Medium | SP001 |
| CP007 | IK3D reported World API use cases spanning Escape.ai, Preview.io, Fenestra, Interior AI, and integrations with NVIDIA Isaac Sim, MuJoCo, and RoboSuite. | Medium | SP002 |
| CP008 | World Labs documents web sharing, VR links, development-asset export, DCC integration for Blender, Maya, and 3ds Max, and mesh export for downstream workflows. | Medium | SP003 |
| CP009 | Value Add VC reported that Runway had raised $315 million at a $5.3 billion valuation and had already reached roughly $300 million in annualized recurring revenue by February 2026. | Medium | SP005 |
| CP010 | Value Add VC reported that Decart raised $300 million at nearly $4 billion valuation and that Odyssey raised $310 million at a $1.45 billion valuation in 2026. | Medium | SP005 |
| CP011 | Value Add VC identified Google DeepMind's Genie 3 and Nvidia's Cosmos as incumbent alternatives competing for similar talent or enterprise customers, and said Cosmos had reached roughly 2 million downloads by mid-2026. | Medium | SP005 |
| CP012 | Public sources in the retained set put World Labs at roughly $1.23 billion raised and a reported roughly $5 billion valuation without disclosing revenue. | Medium | SP004, SP005 |
| CP013 | Relative to Runway, World Labs has much weaker public commercialization proof because retained sources disclose Runway ARR but not World Labs revenue or customer count. | Medium | SP005 |
| CP014 | The retained evidence suggests World Labs' fastest route into buyer workflows is compatibility with existing DCC, game-engine, and Autodesk ecosystems rather than a full replacement of those incumbents. | Medium | SP001, SP003, SP008 |
| CP015 | The live Marble web surface already exposes a public gallery and an Atlas waitlist beyond the core creation flow. | Medium | SP006 |
| CP016 | Public sources still do not disclose World API contract terms, realized enterprise pricing, customer counts, or renewal data. | Low | |
| CI001 | World Labs says it is building world models that can perceive, generate, reason, and interact with virtual and physical worlds. | High | SI001, SI009 |
| CI002 | Marble is World Labs' first product and is presented on official surfaces as a multimodal workflow for creating, editing, and exporting persistent 3D worlds. | High | SI001, SI002, SI003 |
| CI003 | By November 2025, World Labs was publicly presenting Marble as generally available, and Radical described that period as the commercial launch of the product. | High | SI003, SI009 |
| CI004 | Current Marble documentation lists workflow durations from roughly 20 seconds for a draft to about one hour for a high-quality mesh export. | Medium | SI002 |
| CI005 | World Labs announced $1 billion in new funding in February 2026 and named AMD, Autodesk, Emerson Collective, Fidelity Management & Research Company, NVIDIA, and Sea among the investors. | High | SI004, SI006 |
| CI006 | Forbes reports Autodesk invested $200 million in the February 2026 round and took a strategic advisory role. | Medium | SI006 |
| CI007 | Forbes says Bloomberg had previously reported the February 2026 round at approximately a $5 billion valuation, which World Labs declined to confirm. | Medium | SI006 |
| CI008 | HokAI says Marble has Free, Standard, Pro, and Max subscription tiers plus custom enterprise plans, with the free tier capped at four world generations and Max at 75. | Medium | SI008 |
| CI009 | HokAI says the World API is priced separately at 1,250 credits per $1 with a $5 minimum purchase, non-expiring credits, and no interchange with Marble app credits. | Medium | SI008 |
| CI010 | StartupHub.ai says World Labs has paying customers across gaming, visual effects, robotics training, and architectural design. | Medium | SI007 |
| CI011 | Ars and HokAI both describe an approximately $8.2 billion all-stock AMD acquisition agreement for World Labs that is still subject to regulatory approval and expected to close by the end of 2026. | Medium | SI005, SI008 |
| CI012 | HokAI says neither AMD nor World Labs has publicly committed to how Marble or World API pricing and terms will change after the acquisition closes. | Medium | SI008 |
| CI013 | HokAI says no revenue figure has been published for World Labs. | Medium | SI008 |
| CI014 | StartupHub.ai says World Labs counts 150 employees. | Low | SI007 |
| CI015 | HokAI lists World Labs' team size as 50-100. | Low | SI008 |
| CI016 | HokAI presents Marble as self-serve from the free plan onward and the World API as a separate account-funded product flow for developers. | Medium | SI008 |
| CE001 | Marble is the publicly delivered product surface, positioned as a workflow for creating persistent 3D worlds from multimodal inputs rather than as a pure research demo. | Medium | SE005, SE006, SE007 |
| CE002 | Public documentation says Marble can create worlds from text, single images, multiple images, video, panoramas, and coarse 3D structures. | Medium | SE006, SE007 |
| CE003 | Marble exposes editing, expansion, composition, recording, VR/web sharing, and asset-export workflows after world generation. | Medium | SE006, SE007 |
| CE004 | Atlas is publicly described as a multimodal autoregressive diffusion transformer that grounds text, images, video, and 3D inputs into a shared spatial context. | Medium | SE003 |
| CE005 | World Labs says Atlas performs world generation, reconstruction, and simulation tasks and will power future versions of Marble. | Medium | SE003 |
| CE006 | Independent and company sources align that Marble’s differentiation is persistent, navigable, downloadable 3D worlds plus exportable splats, meshes, or videos rather than ephemeral on-the-fly world exploration. | Medium | SE001, SE007, SE008 |
| CE007 | Chisel is positioned as a structure-control layer that lets users lay out coarse 3D geometry before Marble fills in style and detail. | Medium | SE007, SE008 |
| CE008 | World Labs documents creator-facing generation times of about 30 seconds for pano creation from text, image, or 3D structure, about 2 minutes from multi-image or video, about 5 minutes for full world generation, and about 1 hour for high-quality mesh export. | Medium | SE006 |
| CE009 | World Labs says some advanced Marble features are not yet supported on mobile and recommends desktop for the full experience. | Medium | SE006 |
| CE010 | Public technical disclosure remains thin because independent summaries say Marble has no public paper, equations, or training-detail release, while the assigned pool has no independently reproduced Atlas evaluation. | Medium | SE001, SE003, SE004 |
| CE011 | world-models.io characterizes current Marble limitations as few public technical details, a closed platform, and limited evidence on control and planning tasks. | Medium | SE001 |
| CE012 | TechCrunch reported that beta Marble scenes could morph at the edges and that the publication had not independently tested the editing features at launch, tempering production-readiness claims. | Medium | SE008 |
| CE013 | The assigned public source pool surfaces product docs, billing/help references, and waitlist flows, but it does not surface a dedicated public security, privacy, certification, or status artifact for Marble or Atlas. | Medium | SE005, SE006 |
| CE014 | Atlas is not yet the broadly available product surface because World Labs describes it as entering early access with select partners and the Marble site says it is coming soon. | Medium | SE003, SE005 |
| CE015 | The archived World Labs X profile showed 110.8K followers at retrieval, which is an audience signal but not evidence of API integration or repeated developer use. | Medium | SE002 |
| CU001 | World Labs positions Marble Labs as a hub for artists, engineers, and designers and frames case studies around gaming, VFX, design, robotics, and health systems. | High | SU003, SU008 |
| CU002 | World Labs says Marble moved from an early beta cohort to general availability for anyone to use. | High | SU008, SU009 |
| CU003 | World Labs docs describe Marble's core workflow around Gallery, Create, and Studio, with multimodal inputs including text, images, video, and coarse 3D structures. | High | SU007, SU008 |
| CU004 | Independent coverage says Marble was launched as a priced commercial product with freemium and paid plans rather than a waitlist-only research demo. | High | SU004, SU009 |
| CU005 | TechCrunch reported Marble's launch tiers as Free, Standard, Pro, and Max, with paid prices of $20, $35, and $95 per month. | Medium | SU009 |
| CU006 | World Labs docs show that Marble outputs can be shared via browser and VR links and exported as development assets, DCC files, and meshes. | Medium | SU007 |
| CU007 | World Labs presents Marble as a community product surface by highlighting a gallery of worlds created by users and inviting browsing for inspiration. | High | SU006, SU007 |
| CU008 | Technology Magazine says World Labs released a World API so developers can integrate world generation into programmable workflows. | Medium | SU002 |
| CU009 | The strongest named public references in the assigned pool are concentrated in creative, gaming, immersive-media, and developer-adjacent workflows rather than traditional enterprise back-office use cases. | Medium | SU001, SU003, SU009 |
| CU010 | Both founder-oriented and independent coverage point to gaming, VFX, virtual production, and simulation as Marble's clearest near-term customer use cases. | Medium | SU001, SU009 |
| CU011 | The only explicit user-count metric in the assigned pool is ICMR's statement that Marble had 3,000+ users as of December 2025. | Medium | SU005 |
| CU012 | ICMR says World Labs still faced product-market-fit questions and uncertainty over whether industries would adopt Marble-like tools at scale and integrate them into existing pipelines. | Medium | SU005 |
| CU013 | Assigned public sources reviewed for this chapter do not disclose GRR, NRR, churn, renewal rates, contract length, or cohort retention. | Low | SU003, SU004, SU007, SU008, SU009 |
| CU014 | Assigned public sources reviewed for this chapter do not disclose top-customer concentration, customer revenue mix, or the split between app subscriptions, API usage, and bespoke enterprise deals. | Low | SU002, SU003, SU007, SU008, SU009 |
| CU015 | World Labs' named customer and collaborator headlines do not, in this assigned pool, confirm production status, contract scope, or renewal evidence for those relationships. | Medium | SU003 |
| CR001 | AMD signed a definitive agreement to acquire World Labs in an all-stock transaction valued at about $8.2 billion that is expected to close before the end of 2026 subject to regulatory approval. | Medium | SR002, SR005 |
| CR002 | Public reporting captured by HokAI says neither side has stated what will happen to Marble or World API terms after the AMD deal closes. | Medium | SR005 |
| CR003 | HokAI advises current Marble users to watch for terms updates before the AMD transaction closes. | Medium | SR005 |
| CR004 | HokAI says World Labs has not published a responsible scaling policy or model cards in its public materials. | Medium | SR005 |
| CR005 | HokAI says no SOC 2 or ISO 27001 certificate is listed on World Labs' security page and that the page says there is no public bug bounty. | Medium | SR005 |
| CR006 | HokAI says World Labs' November 2025 privacy policy allows user-submitted content to be used for model training, benchmarking, and product development with an opt-out mechanism. | Medium | SR005 |
| CR007 | World Labs' docs say Marble currently takes about 5 minutes to create a world, about 5 minutes to expand a world, and about 1 hour to generate a high-quality mesh. | Medium | SR007 |
| CR008 | World Labs' docs say some advanced Marble features are not yet supported on mobile and recommend desktop for the full experience. | Medium | SR007 |
| CR009 | TechCrunch's launch review said Marble-generated scenes still morphed at the edges and that a beta result matched the reviewer's intent more closely than the same prompt at launch. | Medium | SR008 |
| CR010 | World Labs said Marble had been available only to an early set of beta users before general availability, and Fei-Fei Li said user feedback makes the product better. | Medium | SR001, SR003 |
| CR011 | Stanford Tech Review argued that Marble's exportable outputs enable third-party tooling but left open whether platforms in this category will keep formats open as they mature. | Medium | SR004 |
| CR012 | HokAI says Atlas is available through early access and that World Labs says Atlas will power future versions of Marble, while Marble's public site says Atlas is coming to Marble soon. | Medium | SR005, SR006 |
| CR013 | HokAI says no revenue figure has been published for World Labs. | Medium | SR005 |
| CR014 | Fei-Fei Li described Marble use cases across VFX, design, robotics, gaming, and research, indicating a broad horizontal target market. | Medium | SR001 |
| CR015 | ITPro reported that World Labs decided to move closer to hardware through AMD and tied the transaction to AMD's physical AI ambitions. | Medium | SR002 |
| CV001 | World Labs emerged from stealth in September 2024 with $230 million raised at a $1 billion post-money valuation. | Medium | SV001, SV002 |
| CV002 | Independent public sources describe the February 2026 financing as roughly $1 billion at about a $5 billion valuation, but also note that World Labs did not publicly confirm that exact post-money mark. | Medium | SV002, SV008 |
| CV003 | Autodesk contributed $200 million to the February 2026 round and gained an advisory role tied to integrating its 3D design workflows with World Labs models. | Medium | SV002 |
| CV004 | Public sources reviewed for this chapter do not disclose World Labs revenue or profitability. | Medium | SV003, SV008 |
| CV005 | Marble is publicly sold via four subscription tiers ranging from a free plan to a $95 per month Max plan. | High | SV003, SV007 |
| CV006 | The World API is monetized separately from Marble subscriptions at $1.00 per 1,250 credits with a $5 minimum purchase and non-expiring credits. | Medium | SV003 |
| CV007 | Official product materials describe Marble as a persistent 3D world creator that accepts text, images, video, and coarse 3D layouts and exports splats, meshes, or videos. | Medium | SV005, SV006 |
| CV008 | Public sources show that Marble is a real commercial product but do not disclose how many users pay for it or whether any deployments have scaled into material revenue. | Medium | SV002, SV007, SV008 |
| CV009 | Value Add VC positions World Labs as being near Runway's valuation band despite Runway having disclosed roughly $300 million ARR while World Labs still has no public revenue figure. | Medium | SV002 |
| CV010 | After the February 2026 private round, the only valuation that either side has put in writing is AMD's signed all-stock acquisition of World Labs at about $8.2 billion. | Medium | SV003 |
| CV011 | The AMD transaction improves strategic validation but does not by itself establish a clean minority-entry benchmark because public sources still do not disclose final terms or future product-pricing continuity before close. | Medium | SV003 |
| CV012 | Public valuation support for World Labs rests mainly on founder quality, technical ambition, product launch evidence, and unusual strategic-investor interest rather than on disclosed operating economics. | Medium | SV001, SV002, SV007 |
| CV013 | The lack of public revenue, customer-scale, and confirmed standalone valuation disclosure makes the current public evidence base insufficient for a high-conviction buy recommendation at premium late-stage pricing. | Medium | SV002, SV003, SV008 |
| CV014 | The evidence-backed recommendation for this chapter is track, with medium confidence, high risk, and an expensive valuation stance unless diligence uncovers stronger revenue quality, customer proof, and clearer round economics. | Medium | SV002, SV003, SV008 |
| CV015 | The combination of Autodesk's design-tool alignment and the SceniX robotics-simulation acquisition suggests World Labs is pursuing multiple commercialization paths, which expands upside but complicates the story for a focused underwriting case. | Medium | SV002 |
| ID | Publisher | Title | Quote |
|---|---|---|---|
| SO001 | World Labs | Announcing the World API | Today, we’re launching the World API — a public interface for generating explorable 3D worlds using World Labs’ multimodal world model, Marble. |
| SO002 | World Labs | Research & Insights | World Labs | |
| SO003 | World Labs | Welcome to Marble - World Labs | Marble is the first product from World Labs and is powered by our multimodal world models that can reconstruct, generate, and simulate 3D worlds. |
| SO004 | TechCrunch | Fei-Fei Li's World Labs speeds up the world model race with Marble, its first commercial product | Marble is available via four subscription tiers: Free (four generations from text, image, or panorama), Standard ($20/month, 12 generations plus multi-image/video input and advanced editing), Pro ($35/month, 25 generations with scene expansion and commercial rights), and Max ($95/month, all features and 75 generations). |
| SO005 | Sacra | World Labs valuation, funding & news | On September 28, 2026, AMD entered into a definitive agreement to acquire World Labs in an all-stock transaction valued at approximately $8.2 billion. |
| SO006 | Polaris7 | World Labs: 3D Spatial AI & Platform Overview | Polaris7 | Revenue scales through recurring subscription allowances, consumption of generation credits, credit top-ups and enterprise commercial agreements. |
| SO007 | HokAI | World Labs: Funding, Founders & Products (2026) | Founded in January 2024 by Fei-Fei Li, World Labs builds 3D world models in San Francisco. |
| SO008 | Value Add VC | World Labs Revenue 2026: How It Makes Money | World Labs revenue has never been disclosed, in any filing, funding announcement, or press report, since the company came out of stealth in September 2024. |
| SO009 | Silicon Valley Invest Club | World Labs — ~$5B · Fei-Fei Li, Justin Johnson | World Labs is a leading spatial intelligence company founded in 2017 by AI pioneer Dr. Fei-Fei Li (known as the “Godmother of AI”), along with co-founders Justin Johnson , Christoph Lassner , and Ben Mildenhall . |
| SM001 | AI Magazine | World Labs' Spatial AI Vision to Revolutionise Science | |
| SM002 | World Labs | Atlas: A World Model for Spatial Intelligence | Atlas is entering early access with select partners. |
| SM003 | Autodesk | Autodesk invests $200 million in World Labs, secures strategic advisor role | Large language models (LLMs) have made remarkable progress. But for the industries Autodesk serves, real impact requires AI that understands space, structure, materials, physics, and time. |
| SM004 | Construction Dive | Autodesk invests $200M in AI startup | The investment spotlights a trend where real-world AI tools have garnered increasing support from the construction industry. |
| SM005 | World Labs | Welcome to Marble | Marble lets anyone create high-fidelity, persistent 3D worlds from a single text prompt, single or multiple image, video, and coarse 3D structures. |
| SM006 | World Labs | Marble: A Multimodal World Model | Today we are making Marble, a first-in-class generative multimodal world model, generally available for anyone to use. |
| SM007 | World Labs | World Labs | World Labs is building the next frontier of AI: world models that perceive, generate, reason, and interact with virtual and physical worlds. |
| SM008 | HokAI | World Labs: Funding, Founders & Products (2026) | The World API sells the same generation engine to developers at a fixed $1.00 per 1,250 credits, with a $5 minimum purchase and credits that do not expire. |
| SM009 | TechCrunch | Fei-Fei Li's World Labs speeds up the world model race with Marble, its first commercial product | Marble is available via four subscription tiers: Free (four generations from text, image, or panorama), Standard ($20/month, 12 generations plus multi-image/video input and advanced editing), Pro ($35/month, 25 generations with scene expansion and commercial rights), and Max ($95/month, all features and 75 generations). |
| SM010 | Winzheng | World Labs Launches Atlas Omnimodal World Model: Backed by $1.2 Billion in Funding, Benchmark Fairness Questioned | The lack of disclosed pricing means TCO cannot be estimated, and this information gap is a substantial obstacle in procurement decisions. |
| SP001 | TechCrunch | World Labs lands $1B, with $200M from Autodesk, to bring world models into 3D workflows | |
| SP002 | IK3D Lab | World Labs Raises $1B and Drops the World API — Spatial Intelligence Just Became Programmable | |
| SP003 | World Labs | Welcome to Marble - World Labs | |
| SP004 | Silicon Valley Invest Club | World Labs — ~$5B · Fei-Fei Li, Justin Johnson | |
| SP005 | Value Add VC | World Labs Valuation 2026: Fei-Fei Li's AI Startup at a Reported $5B | |
| SP006 | World Labs | Marble | World Labs | |
| SP007 | World Labs | Marble: A Multimodal World Model | |
| SP008 | TechCrunch | Fei-Fei Li's World Labs speeds up the world model race with Marble, its first commercial product | |
| SI001 | World Labs | World Labs | Marble, our first product, generates spatially consistent, high-fidelity, and persistent 3D worlds that you can move through, edit, and inhabit. |
| SI002 | World Labs | Welcome to Marble | Create draft (from any input): ~20 sec ... Generate high-quality mesh: ~1 hr |
| SI003 | World Labs | Marble: A Multimodal World Model | Today we are making Marble, a first-in-class generative multimodal world model, generally available for anyone to use. |
| SI004 | World Labs | World Labs Announces New Funding | World Labs has raised $1 billion in new funding. |
| SI005 | Ars Technica | AMD acquires World Labs AI startup, upping the ante against Nvidia | Chipmaker AMD and world models company World Labs announced that AMD will acquire the AI company by the end of the year, pending regulatory approval. The transaction is valued at $8.2 billion. |
| SI006 | Forbes | World Labs: $1 Billion Bet To Advance Spatial Intelligence | Autodesk, which makes the software used to design most of the world’s buildings and manufactured products, invested $200 million and took a strategic advisory role. Bloomberg had previously reported the round valued World Labs at approximately $5 billion, though the company declined to confirm. |
| SI007 | StartupHub.ai | Fei-Fei Li World Labs: $5B Spatial AI vs LeCun 2026 | The company has paying customers across four verticals: gaming, visual effects, robotics training, and architectural design. |
| SI008 | HokAI | World Labs: Funding, Founders & Products (2026) | The product line has two public faces and one new model. Marble turns text, images, video, panoramas or rough 3D layouts into persistent 3D worlds that can be edited and exported, with plans that run from a free tier capped at four world generations to a Max tier at 75. The World API sells the same generation engine to developers at a fixed $1.00 per 1,250 credits, with a $5 minimum purchase and credits that do not expire. API credits and Marble app credits are separate pools and cannot be swapped. |
| SI009 | Radical Ventures | Building Spatial Intelligence: How World Labs is Creating the Next Frontier in AI | This conversation is particularly timely as World Labs commercially launched Marble last week, their generative world model that transforms text prompts, photos, videos, or panoramas into fully editable, downloadable 3D environments. |
| SE001 | world-models.io | Marble | World Labs World Model | world-models.io | Marble is World Labs' world model for building persistent 3D scenes from multimodal prompts. It is designed to maintain spatial consistency while turning text, images, video, or 360 captures into navigable worlds that can be exported in both 2D and 3D forms. |
| SE002 | X | World Labs (@theworldlabs) / X | World Labs is a leading spatial intelligence company building frontier models that can perceive, generate, reason, and interact with virtual and physical worlds |
| SE003 | World Labs | Atlas: A World Model for Spatial Intelligence - World Labs | Atlas is a multimodal autoregressive diffusion transformer. Its inputs are grounded in 3D space to form a spatial context, and it generates multimodal outputs conditioned on its context. |
| SE004 | cv-learn.com | World Labs / Marble — Visual-SLAM Roadmap | Marble is a commercial system; no paper, equations, or training details are public. |
| SE005 | World Labs | Marble - World Labs | Request access to Atlas. Coming to Marble soon. |
| SE006 | World Labs | Welcome to Marble - World Labs | Marble lets anyone create high-fidelity, persistent 3D worlds from a single text prompt, single or multiple image, video, and coarse 3D structures. |
| SE007 | World Labs | Marble: A Multimodal World Model | Marble can create 3D worlds from text, images, video, or coarse 3D layouts; Marble also lets you interactively edit, expand, and combine worlds. |
| SE008 | TechCrunch | Fei-Fei Li's World Labs speeds up the world model race with Marble, its first commercial product | Marble is now available via freemium and paid tiers that let users turn text prompts, photos, videos, 3D layouts, or panoramas into editable, downloadable 3D environments. |
| SU001 | RoboTube / Latent Space | After LLMs: Spatial Intelligence and World Models — Fei-Fei Li & Justin Johnson, World Labs | Real use cases for Marble today: previsualization and VFX, game environments, virtual production, interior and architectural design (including kitchen remodels), and generating synthetic simulation worlds for training embodied agents and robots. |
| SU002 | Technology Magazine | Marble Worlds: How World Labs Advances Spatial Intelligence | To facilitate broader adoption among development communities, World Labs has released a World application programming interface (API) which allows spatial creation capabilities to be integrated into programmable workflows through code-based implementation. |
| SU003 | World Labs | Marble Labs - World Labs | Marble Labs is where imagination meets experimentation — where artists, engineers, and designers come together to create new possibilities. Explore featured projects and in-depth case studies showcasing Marble in real-world workflows, and learn to build with guided tutorials and documentation. |
| SU004 | Stanford Tech Review | World Labs Marble: Fei-Fei Li's 3D World Model, Explained | Marble launched with a freemium tier and paid plans — a pricing page, not a waitlist. That sounds mundane, and that is the point. Marble is the first world model priced and packaged like a product rather than a research demo. |
| SU005 | ICMR Center for Management Research | World Labs: Finding the Product-Market Fit for Spatial Intelligence | While the company had secured a US$1 billion investment from various firms including tech-giants like AMD, Nvidia, and Autodesk in February 2026 and its flagship product Marble world model had 3,000+ users as of December 2025, there were still questions about the right product-market fit. Besides, these technologies remained computationally intensive involving massive costs and technical complexity. A significant challenge was whether industries would adopt these tools at scale and integrate them effectively into their existing product pipelines. |
| SU006 | World Labs | Marble - World Labs | Discover worlds created by the community and get inspired ... Generate new worlds from text, images, videos or 3D structures |
| SU007 | World Labs | Welcome to Marble - World Labs | Gallery - Browse and explore worlds created by the community, discover inspiration, and access your own created worlds ... Web sharing - Copy shareable links for browser-based viewing and exploration ... VR experience - Generate VR-compatible links for immersive virtual reality viewing |
| SU008 | World Labs | Marble: A Multimodal World Model | Since then, Marble has been available to an early set of beta users to create 3D worlds for themselves. Today we are making Marble, a first-in-class generative multimodal world model, generally available for anyone to use. |
| SU009 | TechCrunch | Fei-Fei Li's World Labs speeds up the world model race with Marble, its first commercial product | Marble is available via four subscription tiers: Free (four generations from text, image, or panorama), Standard ($20/month, 12 generations plus multi-image/video input and advanced editing), Pro ($35/month, 25 generations with scene expansion and commercial rights), and Max ($95/month, all features and 75 generations). |
| SR001 | Financial Times | Fei-Fei Li of World Labs: AI is incomplete without spatial intelligence | So the more they use it and give us feedback on how to superpower them, the better it is. |
| SR002 | ITPro | AMD to acquire another AI software firm, World Labs | The all-stock acquisition is expected to close before the end of 2026, subject to regulatory approval. |
| SR003 | World Labs | Marble: A Multimodal World Model | Since then, Marble has been available to an early set of beta users to create 3D worlds for themselves. |
| SR004 | Stanford Tech Review | World Labs Marble: Fei-Fei Li's 3D World Model, Explained | The open question for that ecosystem is the same one that decided the image-generation race: whether the platforms keep their formats open once the category matures, or pull the drawbridge up behind them. |
| SR005 | HokAI | World Labs: Funding, Founders & Products (2026) | Neither announcement says what happens to the products, so HokAI's analysis of the deal separates what is confirmed from what is open for people who pay for Marble. |
| SR006 | World Labs | Marble | Request access to Atlas. Coming to Marble soon. |
| SR007 | World Labs | Welcome to Marble - World Labs | Create world (from any input): ~5 min ... Expand world: ~5 min ... Generate high-quality mesh: ~1 hr |
| SR008 | TechCrunch | Fei-Fei Li's World Labs speeds up the world model race with Marble, its first commercial product | Scenes morphed at the edges, though that’s apparently been improved in today’s launch. |
| SV001 | Netfigo | World Labs startup profile | The money came fast and from the top of Silicon Valley. World Labs raised $230 million out of stealth in 2024 at a valuation over $1 billion. ... By early 2026 the company was reportedly in talks to raise more at around a $5 billion valuation. Total funding has climbed past $1.2 billion. |
| SV002 | Value Add VC | World Labs Valuation in 2026: How a $1B Company Became a Reported $5B Company | World Labs came out of stealth on September 13, 2024 with $230 million at a $1 billion post-money valuation. Seventeen months later, a $1 billion round closed at what multiple outlets reported as a roughly $5 billion mark — though the company itself has never confirmed the number in public. |
| SV003 | HokAI | World Labs company profile | Funding came in a roughly $1 billion round announced in 2026 with AMD, Autodesk, Emerson Collective, Fidelity Management & Research Company, NVIDIA and Sea among the investors, after earlier rounds led by Andreessen Horowitz, New Enterprise Associates and Radical Ventures. The acquisition price is the only valuation either side has put in writing. No revenue figure has been published. |
| SV004 | World Labs | Marble | Marble lets you create, edit and share high-fidelity, persistent 3D worlds. |
| SV005 | World Labs | Marble documentation | Marble lets anyone create high-fidelity, persistent 3D worlds from a single text prompt, single or multiple image, video, and coarse 3D structures. |
| SV006 | World Labs | Marble world model blog post | Marble can create 3D worlds from text, images, video, or coarse 3D layouts; ... Once generated, 3D worlds can be exported as Gaussian splats, meshes, or videos. |
| SV007 | TechCrunch | Fei-Fei Li's World Labs speeds up the world model race with Marble, its first commercial product | Marble is available via four subscription tiers: Free (four generations from text, image, or panorama), Standard ($20/month, 12 generations plus multi-image/video input and advanced editing), Pro ($35/month, 25 generations with scene expansion and commercial rights), and Max ($95/month, all features and 75 generations). |
| SV008 | Silicon Valley Invest Club | World Labs company profile | Public sources in the provided results do not confirm a precise latest valuation for World Labs. ... Public sources in the provided results do not disclose World Labs' revenue or profitability. |
| SV009 | Houdao AI | Fei-Fei Li's World Labs Secures $1 Billion in Funding, with NVIDIA and AMD Betting on Spatial Intelligence - Houdao AI |