Physical Intelligence
-78%
est. 2Y upside i
Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.
Rank
#4196
Sector
Robotics / AI Foundation Models
Est. Liquidity
~5Y
Data Quality
Data: MediumPre-revenue at $5.6B with zero commercial validation.
Last updated: March 22, 2026
π0 becomes dominant VLA; $500M+ licensing; $15B+ exit.
Reaches $50-100M ARR; 2-3 more rounds dilute; flat exit $5B.
DeepMind open-sources VLA; down round to $1.5-2B wipes common.
Preference Stack Risk
highFunding Intensity
19%$1.07B on $5.6B (19.1%).
Dilution Risk
high2-3 more rounds; 30-50% dilution.
Secondary Liquidity
limitedSome activity at this tier.
Hardware — 5 roles
- Forward Deployed Robotics Engineer · San Francisco
- Lab Manager · San Francisco
- Robot Build Technician · Fremont
- +2 more →
Engineering — 4 roles
- Build & Release Engineer · San Francisco
- Controls Engineer · San Francisco
- ML Infra Engineer (TPU/Jax/Optimization) · San Francisco
- +1 more →
Business — 3 roles
- Business Operations · San Francisco
- Operations · San Francisco
- Workplace Manager · San Francisco
Operations — 2 roles
- Prop Organizer · San Francisco
- Research Ops · San Francisco
Robot Operations — 2 roles
- Robot Operator · San Francisco
- Shift Lead · San Francisco
Last updated: March 10, 2026
Questions to Ask at the Interview
Strategic questions based on Physical Intelligence's data — designed to show you've done your homework.
- 1
“Moat vs Google DeepMind?”
- 2
“Go-to-market vs Skild?”
- 3
“Additional rounds expected?”
Community
Valuation Sentiment
Our model estimates -78% upside. What do you think?
Anonymous. Do not share material non-public information.
Community Discussion
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Disclaimer: This analysis is AI-generated and does not constitute financial or career advice. Always conduct your own due diligence.