Physical Intelligence
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
$5.6B (last confirmed round, ~2025-11); $11B+ valuation reported in talks as of 2026-03 but not confirmed closed
Total raised
~$1.02B prior to new round (excludes new $1B round still in talks as of 2026-03)
Team size
~80名员工
Traction · Key numbers
Funding
Total raised
~$1.02B prior to new round (excludes new $1B round still in talks as of 2026-03)
Rounds
4
Valuation pace
~20 months from $400M to $5.6B
~$1B
Reported in-progress round · 2026 · valuation $5.6B (last confirmed round, ~2025-11); $11B+ valuation reported in talks as of 2026-03 but not confirmed closed · led by Founders Fund, Lightspeed Venture Partners (reported leads of round in talks as of 2026-03; not confirmed closed)
With: Lightspeed Venture Partners, Thrive Capital, Lux Capital · Reportedly in talks, not yet confirmed closed
$600M
Funding round · 2025-11 · valuation $5.6B post · led by CapitalG
With: Lux Capital, Thrive Capital, Jeff Bezos, Index Ventures, T. Rowe Price · More than doubled the prior round's valuation
$400M
Funding round · 2024-11 · valuation $2.4B post · led by Thrive Capital, Lux Capital
With: Jeff Bezos, OpenAI, Bond Capital, Khosla Ventures, Sequoia Capital
$70M
Seed · 2024-03 · valuation $400M post
▸Extremely fast fundraising cadence: valuation went from $400M to $5.6B in under two years, with a reported $11B round in talks — among the fastest markups in embodied AI
▸Top-tier investor roster — Thrive Capital, Lux Capital, CapitalG, and Founders Fund have each doubled down, signaling repeated diligence conviction in the research team and the π0 model family
▸But the valuation markup is running well ahead of revenue or real-world deployment proof — a narrative-driven raise rather than a revenue-driven one
Founders
Karol Hausman CEO
Former Staff Research Scientist at Google DeepMind and adjunct professor at Stanford
Sergey Levine Chief Scientist
Associate professor at UC Berkeley, pioneer of deep reinforcement learning for robotic manipulation
Chelsea Finn Co-founder
Researcher in robotics and meta-learning
Lachy Groom Co-founder
Stripe veteran bringing commercial and product experience
Reality · Working here
Signals & Risks
Editorial ✎
Good fit for
· Robot learning / RL researchers — one of the few places treating 'general-purpose robot foundation models' as the core thesis, with real resources behind it
· People comfortable with long-horizon, high-uncertainty research — this runs more like a top AI lab than a startup with near-term shipping pressure
· Those who want the strongest investor brand halo in embodied AI (Thrive, Lux, CapitalG, Founders Fund) on their resume
Not for
· Those wanting near-term product/commercial wins — real-world scaled deployment is still far off, and work may stay demo/lab-stage for a long while
· Those uncomfortable with narrative-driven valuations — the markup has far outpaced revenue and deployment proof, leaving real repricing risk if sentiment shifts
Ask in the interview
1. How many real (non-lab) deployments does the π0 model family currently run in, and are any customers actually paying?
2. Compared to similarly well-funded peers like Figure AI and Skild AI, what specifically is Physical Intelligence's technical or data moat?
3. If the rumored $11B round doesn't close as expected, how does that change the runway and headcount plan?
Data changelog
Community corrections → editorial review → applied, fully on the record
data as of 2026-03 · Source: TechCrunch ↗
data as of 2025-11 · Source: TechCrunch ↗
data as of 2026-03 · Source: TechCrunch ↗
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