World Labs
Worth-Joining Index · Scorecard
v2.1 ALPHA · 2026-08Career Score
—/100
Coverage
51%
Verified
17%
Stage cohort
Early
Vibe Check
🎪 community voting coming soon
Latest valuation
~$5B (Series B round, 2026-02)
Total raised
$1.23B total raised (2026-02)
Traction · Key numbers
Funding
Total raised
$1.23B total raised (2026-02)
Rounds
4
Valuation pace
Valuation from ~$200M to ~$5B in ~18 months
$1B
New round · 2026-02 · valuation ~$5B (Series B round, 2026-02) · led by Autodesk, AMD, Emerson Collective, Fidelity, Nvidia
With: Andreessen Horowitz, Nvidia, AMD, Emerson Collective, Fidelity, Sea · Autodesk led with $200M; cumulative funding reaches $1.23B
报道中
Funding talks · 2026-01 · valuation $5B
Valuation from Bloomberg report on funding talks, not necessarily final terms
$230M
Seed (stealth exit) · 2024-09 · valuation $1B+ post · led by Andreessen Horowitz, NEA, Radical Ventures
With: Databricks Ventures, NVentures, Adobe Ventures · Combined two seed tranches, disclosed at stealth exit
未披露
Seed · 2024-04 · valuation $200M post
Initial valuation at company founding
▸Valuation jumped from $200M to $5B in 18 months — a pace that outstrips most AI application companies, signaling an infrastructure-scale bet rather than a product-scale one
▸Autodesk, AMD and Nvidia joining the same round mixes financial and strategic intent (3D content tooling, compute ecosystem) — worth probing for any strategic lock-in terms
▸Fei-Fei Li's academic reputation is the strongest early trust signal, but reputation doesn't substitute for proven product-market fit
Founders
Fei-Fei Li Co-founder
Stanford professor, dubbed the 'Godmother of AI', creator of ImageNet
Justin Johnson Co-founder
Machine learning leader
Ben Mildenhall Co-founder
Generative AI expert (NeRF-related research background)
Christoph Lassner Co-founder
Computer vision and graphics specialist
Reality · Working here
Signals & Risks
Editorial ✎
Good fit for
· 3D/graphics and generative-vision researchers — one of the few companies doing real world-model foundational research rather than wrapping existing models
· People willing to bet on a long-cycle, infrastructure-scale technology play — productization and revenue proof still need time
· People with game, film, or digital-twin industry backgrounds who can help Marble find real deployment scenarios
Not for
· People who want a near-term, provable revenue growth curve — the company is still at the just-shipped, commercialization-unproven stage
· People uncomfortable with a 'valuation ahead of revenue' playbook — fundraising pace has far outrun product maturity
Ask in the interview
1. What are actual paid conversion and retention numbers since Marble shipped? How large is the gap between valuation and real commercialization?
2. Given Google DeepMind (Genie line) and Runway working on world models/3D generation in parallel, what specifically is World Labs' technical moat?
3. Do strategic investors like Autodesk carry any exclusivity terms that could constrain future customer expansion?
Data changelog
Community corrections → editorial review → applied, fully on the record
data as of 2026-02 · Source: TechCrunch ↗
data as of 2026-02 · Source: Bloomberg / TechCrunch reporting ↗
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