Laplace Intelligence red-teams robots and self-driving cars before they hit the real world
University of Michigan spinout Laplace Intelligence uses AI agents and interactive simulation to stress-test robots and self-driving vehicles before deployment. The profitable startup is competing in Startup Battlefield at TechCrunch Disrupt, October 13-15 in San Francisco.
TL;DR
- Laplace Intelligence focuses on stress-testing physical AI, like robots and autonomous vehicles, using AI agents.
- The company utilizes high-fidelity simulations reconstructed from real-world data, powered by Nvidia's Cosmos platform.
- AI agents are used to automatically design 'corner cases' – tricky scenarios that could trip up AI systems.
- Laplace aims to help companies identify and resolve issues before physical AI is deployed.
- The startup, founded by Howie Sun and Henry Liu, has already generated revenue and a modest profit, with customers including Isuzu and Bot Auto.
- Laplace is competing in Startup Battlefield at TechCrunch Disrupt to raise funds and scale.