Laplace Intelligence offers automated red‑teaming for robots and self‑driving cars
Laplace Intelligence, an Ann Arbor startup founded by Howie Sun and chief scientist Henry Liu, is commercialising automated red‑teaming for physical AI. The company builds high‑fidelity simulations using a post‑trained version of Nvidia’s Cosmos platform, reconstructing real‑world settings—from an Arizona highway to a Paris pedestrian crossing—by blending map data, street‑view images and live…
Key points
- Laplace uses Nvidia’s Cosmos simulation platform to create high‑fidelity, real‑world‑grounded environments for autonomous‑vehicle and robot testing.
- Customers include Bot Auto, a Japanese automaker, and pilots with Nvidia and T‑Mobile for smart‑city traffic operations.
- Founder Howie Sun aims to raise a new funding round to scale, competing with rivals like Applied Intuition, which has raised $1.2 billion.
Laplace already has revenue and a modest profit, with contracts from autonomous‑trucking firm Bot Auto, a major Japanese automotive manufacturer, and a free smart‑city pilot with Nvidia and T‑Mobile in San Jose. The startup is also exploring partnerships for warehouse humanoid robots. Competing in TechCrunch Disrupt’s Startup Battlefield 200, Laplace hopes to raise a new funding round to scale against rivals such as Applied Intuition, which has raised $1.2 billion and is valued at $15 billion.
The story so far
2 episodes →- Laplace Intelligence offers automated red‑teaming for robots and self‑driving carsthis story
Laplace Intelligence red-teams robots and self-driving cars before they hit the real world
TechCrunch AI · 19 October 2026
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