NEWS · STARTUPS · #2216
Laplace Intelligence develops AI red-teaming platform for robots and self-driving cars
Laplace Intelligence, founded by Howie Sun and Henry Liu out of the University of Michigan, is building automated red‑teaming for physical AI—using a post‑trained Nvidia Cosmos simulation grounded in real‑world map and traffic data (including TomTom) and AI agents that generate corner cases to stress‑test robots and autonomous vehicles. The startup is presenting at TechCrunch Disrupt’s Startup Battlefield 200 and says it has begun generating revenue.
KEY POINTS
- Laplace Intelligence, founded by Howie Sun and Henry Liu out of the University of Michigan, is building automated red‑teaming for physical AI—using a post‑trained Nvidia Cosmos simulation grounded in real‑world map and traffic data (including TomTom) and AI agents that generate corner cases to stress‑test robots and autonomous vehicles.
- The startup is presenting at TechCrunch Disrupt’s Startup Battlefield 200 and says it has begun generating revenue.
- Automated, simulation‑based red‑teaming for physical AI could uncover dangerous edge cases before real‑world deployment, addressing safety gaps as agents move out of the lab.
WHY IT MATTERS
Automated, simulation‑based red‑teaming for physical AI could uncover dangerous edge cases before real‑world deployment, addressing safety gaps as agents move out of the lab.