Startup Diligence
Diligence report spatial intelligence / 3D generative AI / simulation infrastructure late-stage private, pending acquisition 2026-10-16

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

Last disclosed financing 01
About $1B USD [CO008, CO009]
Pending transaction value 02
About $8.2B USD [CO007, CO012]
Total disclosed capital raised 03
About $1.23B USD [CO008, CO009]
Headquarters 04
San Francisco, California [CO004]

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
[CO001, CO004, CO005, CO006, CO007, CO008, CO009, CO010, CO012, CO013, CO014]

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

Chapter 01

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]

Snapshot KPI table
MetricValue/statusDateConfidenceGap
Stage / ownership statusPending AMD acquisition; World Labs remains standalone until close2026-09-28MediumDeal is signed but still subject to regulatory approvals and closing conditions.
Pending deal valuation~$8.2B all-stock transaction2026-09-28MediumPrice is tied to a pending transaction, not a closed control event.
Total disclosed funding~$1.23B2026-02-18MediumDerived from disclosed rounds only; cap-table detail remains private.
Last financing$1B round; Autodesk invested $200M strategically2026-02-18MediumPublic materials do not disclose full commercial rights or post-money mechanics.
Revenue / ARRNot publicly disclosed2026-10MediumAssigned sources support commercialization but not a defendable top-line figure.
Customer countNot publicly disclosed2026-10LowNo source in the assigned pool names a current paid-customer count.
Headcount50-100 to 50-200 in third-party profiles; exact figure undisclosed2026-10LowOnly 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]

Leadership and founder table
PersonRole / statusBackgroundFounder-market fit / functional coverageKey-person dependency
Fei-Fei LiCEO and co-founder; expected to become AMD EVP and chief scientist if the deal closesStanford AI researcher; ImageNet creator per HokAISets the category narrative and anchors recruiting, funding access, and external credibilityVery high: public identity and post-close reporting line both concentrate around Li.
Justin JohnsonCo-founder; quoted publicly on Marble and described as continuing to lead the World Labs teamWorked on generative models at Stanford per HokAIBridges research commercialization, product positioning, and creator use casesHigh: product credibility and launch messaging are repeatedly tied to Johnson.
Christoph LassnerCo-founderBuilt the Pulsar renderer at Meta Reality Labs and Epic Games per HokAIAdds rendering and 3D systems depth that fits World Labs' explicit 3D product strategyMedium: less public-facing than Li or Johnson, but central to graphics execution.
Ben MildenhallCo-founder; described by HokAI as continuing to lead the team post-dealCo-created NeRF at Google Research per HokAIStrengthens the world-model and view-synthesis research base behind Marble and AtlasHigh: 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 or investor map
StakeholderRoleControl or economic importanceDiligence ask
AMDPending acquirer and prior investor/technical partnerSigned definitive all-stock deal at about $8.2B and would absorb the company if approvals clearVerify closing conditions, integration plan, and any changes to product roadmaps or customer terms before close.
AutodeskStrategic investorAccounted for $200M of the February 2026 round and received an advisory role per SacraConfirm whether distribution, exclusivity, or roadmap commitments accompany the investment.
Fei-Fei LiCEO, co-founder, and post-close AMD executive-designateCentral management figure whose role ties together strategy, fundraising, recruiting, and public trustRequest board materials, retention terms, and succession coverage below Li.
Andreessen HorowitzEarly institutional backerLed or featured prominently in the September 2024 stealth-exit financing per public profilesClarify ownership percentage, pro-rata behavior, and governance influence after the 2026 round.
NVIDIAStrategic/financial investorNamed among 2026 investors while also operating adjacent physical-AI platformsSeparate 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]

FO001: Company milestone timeline

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]

AMD deal signed [CO007, CO012]

[CO003, CO007, CO008, CO009, CO012, CO013]

1.4 Exhibits

Chapter 02

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]

Market definition table
Segment / categoryIncluded spend / workflowExcluded spend / workflowBuyer / payerRelevance
Spatial-intelligence foundation modelsModel 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 creationSubscription 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 / APIUsage-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 twinBudgets 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 simulationR&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 substitutesExisting 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]

TAM / SAM / SOM or sizing lens table
LensPublisher / yearGeographyValueCAGRMethodology / what it measuresConfidenceLimitation
Free creator entryWorld Labs / TechCrunch, 2025-2026Global4 world generationsFree Marble tier for low-friction creator trial.MediumPlan limit is not buyer count, revenue, or TAM.
Standard creator planTechCrunch, 2025Global$20 per month; 12 generationsPublic paid self-serve package for individual or small-team users.MediumNo public conversion, retention, or seat-count data.
Pro creator planTechCrunch, 2025Global$35 per month; 25 generationsAdds scene expansion and commercial rights for higher-intent creators.MediumStill packaging evidence, not segment demand.
Max creator planTechCrunch, 2025Global$95 per month; 75 generationsHighest disclosed self-serve plan and usage cap.MediumCeiling on public plan access, not enterprise willingness to pay.
Developer API floorHokAI, 2026Global$1 per 1,250 credits; $5 minimumUsage-priced API entry point for developers.MediumNo public consumption benchmarks or contract-volume data.
Strategic enterprise signalAutodesk / Construction Dive, 2026Global$200M strategic investmentProxy for partner conviction in design and physical-world AI demand.MediumFinancing is not customer spend or recurring revenue.
Capital narrativeWinzheng, 2026Global$1.23B total capital raisedInvestor-conviction proxy used because public TAM and revenue are absent.LowCapital 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]
FM001: Evidence-constrained commercialization layers

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]

[CM004, CM006, CM011, CM012]

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 map
SegmentBuyerUserPayerWorkflowBudget ownerAdoption trigger
Individual creatorsIndividual creatorArtist or designerPersonal or team cardGenerate exploratory 3D worlds from prompts, images, or panoramas.Self-serve software spendLow-friction trial and experimentation
Small creative teamsStudio lead or production managerArtists, world builders, and editorsCreative-tool budgetPrototype scenes, backgrounds, and camera-ready environments.Creative operations or productionFaster asset creation with exportable 3D outputs
Developers / product teamsProduct or platform engineering leadDevelopersProduct or cloud budgetCall World API from apps and internal workflows.Engineering or platform leadershipNeed programmable 3D world generation
AEC / design / digital-twin teamsInnovation or design-software leaderDesigners and engineersWorkflow or transformation budgetUse 3D reasoning, simulation, and exports in built-environment workflows.Design or engineering leadershipInteroperability with existing 3D tools plus Autodesk alignment
Robotics / simulation teamsRobotics R&D leadSimulation and ML engineersResearch budgetBuild controllable simulated worlds for training and testing.Robotics or research leadershipNeed 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

Chapter 03

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 profile table
CompetitorCategoryScale / funding signalTarget segmentDifferentiation signalLimitation / unknown
World LabsDirect startup~$1.23B raised; reported ~$5B valuationCreators, developers, simulation-adjacent buyersPersistent downloadable 3D worlds; multimodal input; native editing and exportRevenue, customer count, and enterprise contract terms undisclosed
RunwayDirect startup$315M raised; $5.3B valuation; roughly $300M ARRCreative and generative-media teamsStrongest disclosed commercialization in retained peer setRetained sources do not show equivalent persistent downloadable 3D-world positioning
DecartDirect startup$300M raised; nearly $4B valuationReal-time world-model usersWell-funded world-model rivalPublic pricing, customers, and workflow depth not disclosed in retained sources
OdysseyDirect startup$310M raised; $1.45B valuationInteractive world-model / API usersAPI-first world-model positioningCommercial traction and workflow detail not disclosed in retained sources
Google DeepMind / Genie 3Incumbent labPublic-company-backed research platformResearch, interactive 3D, frontier AI usersDeep research depth and public Genie 3 releaseStandalone pricing and buyer workflow not disclosed in retained sources
Nvidia / CosmosIncumbent platformPublic-company platform; roughly 2M downloads for Cosmos by mid-2026Robotics, synthetic-data, simulation usersDistribution through AI and robotics ecosystemBroader platform, not a like-for-like startup product comp
Autodesk + status-quo DCC stackIncumbent / substitute$200M strategic investment plus entrenched design workflow ownershipDesign, media, entertainment, architecture usersControls downstream tooling that many buyers already usePartnership 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]

Feature / capability matrix
Buying criterionWorld LabsDirect peer signal in retained sourcesStatus quo / incumbent alternativeImplication
Persistent downloadable worldsYes; positioned as persistent and downloadableNot evidenced for cited peer demos/previews in retained sourcesManual 3D pipelines can produce persistent assets, but slowlyWorld Labs' clearest product-level wedge
Multimodal inputText, image, video, panorama, and coarse 3D structureNot fully disclosed across retained peer sourcesInternal build can combine tools, but with more workflow overheadBroader entry points for different creator workflows
Native editing / structure controlEdit, expand, compose, and Chisel structure controlsUnknown in retained peer sourcesManual DCC tools still offer deepest explicit controlWorld Labs optimizes fast iteration rather than final-authoring depth
Export / pipeline compatibilityGaussian splats, meshes, videos, VR links, DCC integrationUnknown in retained peer sourcesIncumbent stack already owns final delivery and file formatsLower switching cost, but weaker lock-in
Public pricing / commercial proofList pricing public; customer economics privateRunway ARR disclosed; others mostly private in retained sourcesExisting software stacks have mature procurement patternsWorld Labs is easier to trial than to underwrite
Robotics / simulation adjacencyReported World API integrations with Isaac Sim, MuJoCo, and RoboSuiteNvidia is structurally strong in simulation toolingIn-house simulators remain an alternative for advanced teamsAdjacency 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]
Pricing / packaging comparison
OptionPublic price signalUnit / contract modelIncluded capabilitiesKnown unknownsCompetitive implication
Marble FreeFree4 generationsText, image, or panorama generationEnterprise support, retention, and conversion data unknownLow-friction top-of-funnel wedge
Marble Standard$20/month12 generationsAdds multi-image/video input and advanced editingRealized discounting and overages unknownAccessible prosumer entry price
Marble Pro$35/month25 generationsAdds scene expansion and commercial rightsNo public evidence on team/seat packagingTargets small commercial creators before enterprise procurement
Marble Max$95/month75 generationsAll features at highest self-serve tierVolume economics and margin profile unknownUpper self-serve bound still looks modest versus enterprise software budgets
World APIPublic access, but retained sources do not disclose pricePay-per-use APIAsynchronous 3D world generation for developer useContract minimums, SLAs, and volume pricing unknownEnterprise moat depends on terms the public record does not show
Peer / incumbent alternativesNot disclosed in retained sourcesVaries across startup APIs, incumbent software seats, and internal buildDepends on vendor or internal workflowNo normalized TCO comparison in retained evidenceBuyer 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]
FP001: Competitive positioning map

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
ItemWorkflow 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

Chapter 04

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]

Revenue streams table
StreamMechanismUnitCurrent value / statusQualityDiligence ask
Marble subscriptionsSelf-serve creator app for generating, editing, and exporting persistent 3D worldsPlan / world-generation allowanceFree through Max tiers plus custom enterprise packaging are public; exact dollar prices are not in retained evidencePackaging is visible, but realized ASP and discounts are unknownRequest plan price sheet, paid-seat counts, upgrade funnel, and enterprise mix
World APIDeveloper credit purchases for the same generation engineCredits1,250 credits per $1, $5 minimum purchase, credits do not expirePublic unit pricing is visible, but usage-to-revenue conversion is undisclosedRequest active developers, monthly credit consumption, and gross margin per workload
Enterprise / custom contractsNegotiated commercial terms attached to Marble enterprise plansContract / minimum commitEnterprise availability is disclosed, but scope, services, and pricing are notSuggests larger-ticket motion without ACV or services burden disclosureRequest 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]
Pricing / monetization table
OfferPrice / unit / contractList vs realized pricingDiscounts / unknownsSource
Marble FreeUp to 4 world generations; no commercial rightsUsage cap disclosed, dollar price inherently zeroConversion rate into paid tiers is unknownHokAI
Marble StandardUp to 12 world generationsTier exists, but retained evidence does not include list priceNo public ASP, discount, or seat informationHokAI
Marble ProUp to 25 world generations; adds commercial rights and textured mesh exportFeature and usage cap disclosed, list dollar price absentNo evidence on realized price, negotiated discounts, or attach ratesHokAI
Marble MaxUp to 75 world generationsTier exists, but retained evidence does not include list priceNo public evidence on who buys Max or whether limits are softHokAI
World API1,250 credits per $1; $5 minimum purchase; credits do not expireExact public unit price disclosedNo evidence on volume breaks, enterprise commits, or effective realized pricingHokAI

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]
FI001: Revenue model bridge

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 / ConnectionNode / fromToContext
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]

Unit economics table
MetricValue / nullConfidenceWhy it mattersDiligence ask
Public revenue / ARRNot disclosedLowRevenue quality cannot be underwritten without product-level topline and growthMonthly revenue, ARR, growth, deferred revenue, and product mix by Marble vs API
Paying-customer proofPaying customers reported across gaming, visual effects, robotics training, and architectural design; customer count undisclosedMediumConfirms some monetization breadth but not scale, concentration, or renewal qualityProduction customer list, contract size, renewal status, and pilot-to-production conversion
Compute / service-delivery proxyDocs list ~20 sec draft generation, ~5 min world generation, and ~1 hr high-quality mesh exportHighLong-running exports imply potentially meaningful GPU and support cost variabilityCost per generation/export, infrastructure burden, support load, and gross margin by workflow
Team-size proxyConflicting public proxies: 150 employees vs 50-100 teamLowStaffing ambiguity makes burn and fixed-cost estimates unreliableVerified 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 disclosedMediumRound size alone does not reveal how much capital remains or how fast it is consumedCash on balance sheet, monthly burn, debt, lease obligations, and board runway plan
Pricing continuity through AMD closePost-close Marble and API terms not publicly committedMediumRenewal risk limits confidence in LTV, contract duration, and buyer willingness to commitChange-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

Chapter 05

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]

Product module / asset matrix
Module / assetPrimary userStatus / maturityDifferentiationDiligence gap
Marble core world generationCreator / designer / artistPublic productPersistent 3D worlds from text, image, video, panorama, and coarse 3D inputsNeed public data on output quality, failure rates, and production usage
Chisel 3D structure modeAdvanced creator / designerExperimental mode inside MarbleLets users block out coarse 3D structure and then style it with promptsNeed evidence on adoption, precision, and asset import limits
Studio compose and record toolsPower users / content teamsDocumented workflowSupports composing multiple worlds and recording cinematic flythroughsNeed API or workflow details for team collaboration and versioning
Atlas world modelSelect partners / future Marble usersEarly access / not broadly productizedOmni model spanning text, images, video, and 3D with spatial-context generationNeed 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]
Workflow / use-case table
User jobCurrent workflowWorld Labs solutionMeasurable benefitLimitation
Rapid scene ideationStart from text or a single imageMarble creates a full 3D world from text or image promptsShortest documented path into a persistent worldModel still invents unseen detail and public quality benchmarks are absent
Higher-control scene creationSupply multiple images, panorama, video, or coarse 3D structureMarble stitches multimodal inputs into one world and Chisel lets users define structureMore control over layout and spatial consistency than one-shot promptingNo public precision metrics for reconstruction fidelity or edit accuracy
Iterative world editingUse pano edit, click-and-expand, variation, or object/layout editsMarble exposes AI-native editing, world expansion, and style changesLets users refine a world after generation instead of restarting from scratchIndependent validation of reliability and artifact rates is limited
Downstream content deploymentShare, view in VR, export development assets, meshes, or recorded flythroughsStudio and export paths move scenes into external tools and presentationsMakes the output more usable than a closed video-only demoNo 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]

Technology / operating architecture table
Layer / componentRoleDependencyRisk
Prompt and capture inputsText, single image, multi-image, panorama, video, or coarse 3D structure define the initial world contextUser-supplied content quality and supported upload flowsSparse or low-quality inputs can force imagination where exact reconstruction is desired
Spatial context model coreAtlas publicly describes a multimodal autoregressive diffusion transformer grounded in 3D spatial contextLarge-scale training compute plus multimodal/world-model inference stackNo public Marble paper, independently reproduced Atlas evaluation, or architecture-level performance envelope
Interactive control layerChisel, editing, expansion, composition, and recording convert model output into controllable creator workflowsProduct UX, scene-editing tools, and model responsivenessIndependent evidence on edit reliability, collaboration, and rollback controls is thin
Output and runtime layerWorlds can be exported as Gaussian splats, meshes, videos, VR links, or development assetsRenderer/export toolchain and downstream engine compatibilityPublic 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]
FE001: Product architecture map

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

Chapter 06

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]

Customer segmentation table
SegmentBuyer / user / payerUse caseScale signalRevenue / strategic valueGap
Self-serve creatorsIndividual creators and small teams are the visible users; payer appears to be app subscribersGenerate, edit, and export 3D worlds from prompts or mediaGeneral availability, community gallery, and paid tiers are publicly visibleShows a monetizable top-of-funnel and repeat project surfaceNo public paid-subscriber count or segment revenue mix
Film / VFX / virtual productionStudios, production teams, and creator collaboratorsPrevisualization, virtual sets, cinematic environments, and production workflowsPromise, Lightcraft + Beeble, OpenArt, and HTC VIVE case-study headlinesBest named customer proof in the assigned poolProduction depth, contract scope, and renewals are undisclosed
Gaming / immersive buildersGame creators, multiplayer builders, and interactive-world teamsPlayable spaces, browser-native worlds, and creator-led virtual designWithLore, Rosebud AI, VIVERSE, and Unreal-oriented case-study headlinesSupports engine/export narrative and creator expansion loopsNo disclosed paid seat counts, MAU, or customer concentration
Developers / platform buildersDeveloper teams using programmatic workflows; payer likely API credit buyers or business accountsEmbed world generation into code-based applicationsWorld API release cited in independent coverageExpands addressable base beyond the Marble UINo public API customer count, credit consumption, or enterprise terms
Robotics / simulation explorersTechnical researchers and simulation-oriented teamsSynthetic environments for robotics and embodied-agent trainingFounder interview and independent coverage cite robotics simulations as an intended use caseLonger-term expansion vector if workflow proof maturesNo 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]
FU001: Customer journey map

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]

Customer growth / adoption trajectory table
MetricValueDateSourceConfidenceImplicationMissing denominator
Access stage before launchEarly beta cohort2025-11World Labs blogMediumThere was live usage before broad launchBeta-user count and retention are not disclosed
Commercial availabilityGenerally available for anyone to use2025-11World Labs blogHighTop-of-funnel access widened beyond a limited previewNo current active-user or paid-conversion disclosure
Product packagingFreemium plus paid plans2025-11 / 2026-09TechCrunch; Stanford Tech ReviewHighMarble is sold like a commercial product rather than a research demoCurrent subscriber counts and plan mix are undisclosed
Sharing / export surfacesBrowser links, VR links, development assets, DCC files, and mesh exportCurrent docs snapshotWorld Labs docsHighThe workflow is designed to move outputs into external tools and collaborators' handsNo disclosed usage frequency or export volume
Developer channelWorld API released for programmable workflows2026Technology MagazineMediumWorld Labs is trying to broaden usage beyond the web appNo API customer count, credit burn, or expansion metrics
Public user count3,000+ users2025-12ICMR case studyMediumThere was at least some measurable post-launch usageSecondhand 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]

Named customer proof table
CustomerSegmentDeployment / use caseProduction vs pilotOutcomeLimitation
PromiseFilm / virtual productionTransform archival imagery into immersive 3D environments for Harlan Coben's Final TwistProduction status not confirmed in assigned poolShows a named workflow example in media productionOnly a company-published case-study headline is provided here
Lightcraft + BeebleVirtual production / VFXIndie filmmaking workflow for a zombie movieProduction status not confirmed in assigned poolShows a multi-tool collaboration around cinematic worldbuildingNo contract scope, deployment depth, or renewal evidence
MagnificCreative tools / designProduct scenes, lighting, and campaign visualsProduction status not confirmed in assigned poolShows design-oriented workflow relevanceNo disclosed user count, spend, or recurring usage
OpenArtCreative tools / filmTurn a single image into a persistent 3D environment for creators to explore and frameProduction status not confirmed in assigned poolShows creator-facing storytelling use caseNo proof of scaled production deployment
HTC VIVEVirtual production / VFXReal-time AI-generated 3D environmentsProduction status not confirmed in assigned poolShows headset and immersive-media adjacencyCase-study headline does not disclose commercial terms
Escape.aiImmersive mediaTurn cinematic worlds into navigable 3D spacesProduction status not confirmed in assigned poolShows adjacent platform integration narrativeNo disclosed revenue, renewals, or rollout breadth
WithLoreGaming / web-native worldsBuilt ICARE in two months using Marble and Spark 2.0Production status not confirmed in assigned poolShows speed-to-build story for small teamsNo evidence of ongoing spend or long-term retention
Rosebud AIGaming / multiplayerGenerative worlds and AI-assisted game tools for faster collaborative creationProduction status not confirmed in assigned poolShows multiplayer and creator-collaboration positioningNo proof of production scale or expansion revenue
James C. KaneCreator / narrative worldbuildingLatest production in collaboration with World LabsProduction status not confirmed in assigned poolShows named creator collaborationIndividual collaboration is not equivalent to enterprise customer proof
VIVERSEGaming / interactive 3D worldsCreator-led worldbuilding and virtual designProduction status not confirmed in assigned poolShows interactive-world positioningNo 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

Chapter 07

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]

FR001: Risk heatmap

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]

Regulatory / legal risk register
RiskJurisdiction / surfaceCurrent public statusLikelihoodSeverityPublic mitigation evidenceResidual exposureDiligence path
AMD acquisition closing riskMerger review and customer-contract continuityDefinitive agreement signed; close expected before end-2026 and still subject to regulatory approvalMediumHighPublic timeline plus existing AMD working relationshipHigh until approval and product-term continuity are explicitConfirm review jurisdictions, remedies, change-of-control clauses, and product roadmap ownership
Data-use and privacy-control riskUser uploads, training rights, and customer IP handlingPublic summary says uploads may be used for model training, benchmarking, and product development with opt-outMediumHighOpt-out mechanism is publicly describedHigh for enterprise users with sensitive contentReview full privacy policy, DPA terms, retention controls, and enterprise carve-outs
Security assurance and governance gapEnterprise security, auditability, and model-governance disclosurePublic materials reviewed by HokAI show no responsible scaling policy, model cards, SOC 2, ISO 27001, or public bug bountyMediumHighResponsible disclosure contact existsHigh because public trust signals are still thinRequest 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]

Operational / quality / security risk register
Failure modeEvidenceLikelihoodSeverityMitigation maturityResidual exposureUnresolved gap
Output consistency still imperfectTechCrunch reported that scenes morphed at the edges and that an earlier beta result matched intent more closely than the same launch promptMediumHighMedium; World Labs keeps shipping product updates and editing controlsMedium-high until quality metrics are disclosedNo public defect-rate, retention, or enterprise-acceptance data
Slow production workflow for heavy outputsDocs say world creation is about 5 minutes, expansion about 5 minutes, and high-quality mesh export about 1 hourHighMediumMedium; current workflow is documented and productizedMedium because turnaround may still block scaled production useNo public SLA, queue priority, or throughput benchmarks
Desktop dependence for advanced usageDocs say some advanced creation and editing features are not yet supported on mobile and recommend desktop for the full experienceMediumMediumLow-mediumMedium for distributed review workflowsNo public timeline for mobile feature parity
Enterprise security readiness unclearPublic profile notes no listed SOC 2 or ISO 27001 certification and no public bug bountyMediumHighLowHigh until independent assurance existsNo 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]
Partner / dependency risk register
DependencyCounterparty / surfaceRoleConcentrationFailure scenarioSeverityMitigationResidual exposure
Ownership transitionAMDAcquirer, investor, and hardware partnerHighClosing delay or post-close reprioritization disrupts Marble and World API continuityHighExisting relationship predates the deal; product remains available todayHigh until public post-close commitments exist
Hardware and compute strategyAMD GPU stackTraining and inference optimization plus strategic hardware alignmentHighProduct roadmap becomes more tightly coupled to one hardware ecosystemMedium-highWorld Labs says closer hardware integration can improve efficiency and scaleMedium-high because concentration still rises after closing
Format and ecosystem opennessDownstream toolchain and third-party developersExport formats and integrations help external tooling build on Marble outputsMediumFuture terms or format changes reduce portability and ecosystem goodwillMedium-highCurrent outputs are exportable as splats, meshes, or videoMedium because future openness remains an explicit open question
Platform migration to next model generationAtlas into MarbleFuture model upgrade pathMediumMigration changes pricing, behavior, or support before users have stable baselinesMediumAtlas is being staged via early access rather than forced on everyone at onceMedium 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

Chapter 08

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]

Recommendation summary table
Decision lensAssessmentEvidence-backed implication
RecommendationtrackPublic evidence supports continued monitoring and diligence rather than chasing a priced entry today.
ConfidencemediumSources agree on financing and product facts but not on disclosed economics or a confirmed standalone private mark.
Risk ratinghighThe asset now has strategic-exit support, but valuation and ownership context still outrun public commercial disclosure.
Valuation stanceexpensiveThe 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 disciplineprice-sensitive onlyRe-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]

Thesis / anti-thesis table
ArgumentEvidence todayWhat would change the view
Founding team and research edgeFei-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 monetizedMarble 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 strongAutodesk 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-thesisPublic 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]

Bull / base / bear scenario table
ScenarioCore assumptionsValuation / return logicProbability signalDownside / trigger
BullAMD 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.
BaseThe 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.
BearAMD 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]
FV001: Recommendation logic

Strategic signal is strong, but missing public economics keeps the call at track rather than buy.

Node / ConnectionNode / fromToContext
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
[CV005, CV006, CV010, CV011, CV013, CV014]

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

Claims
IDStatementConfidenceSources
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
Sources
IDPublisherTitleQuote
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