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 at TechCrunch Disrupt's Startup Battlefield.
AI red-teaming company Laplace Intelligence is preparing to challenge the safety of robots and self-driving cars before they are deployed in the real world. Co-founded by Howie Sun and Henry Liu, Laplace is leveraging its expertise in autonomous driving AI simulation to build automated red-teaming solutions for robotics and physical AI systems.
The company's core technology reconstructs a high-fidelity simulation of the real world, paired with AI agents that continuously probe for weaknesses and failure points. By testing physical AI in simulation before deployment, Laplace aims to ensure system safety and build a shared foundation of evidence for customers, insurers, and regulators.
Sun, who has spent eight years researching how to challenge autonomous driving AI in simulation, founded Laplace a year ago. The startup's unique selling point lies in its AI agents that design corner cases, or rare and tricky scenarios, to actively challenge autonomous vehicles and physical AI agents. Laplace's product is currently being utilized by companies like autonomous trucking firm Bot Auto, Japanese trucking manufacturer Isuzu, and smart city solutions provider T-Mobile, among others.
The startup is now competing in TechCrunch Disrupt's Startup Battlefield and hopes to raise funds for further scaling and expansion.
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