Laplace Intelligence pitches AI red-teaming for robots and self-driving cars
Overview
Laplace Intelligence, a startup founded out of the University of Michigan, builds automated red-teaming software that uses AI agents to find failure points in robots, autonomous vehicles and smart city systems before deployment.
CEO Howie Sun says the simulations are built from real-world data, such as Google Street View images and map data, and run on a post-trained version of Nvidia's Cosmos. Customers include Isuzu and Bot Auto, according to TechCrunch, which reports Laplace is competing in TechCrunch Disrupt's Startup Battlefield.
Written by AI from the articles below · updated Oct 13, 2:24 PM ET
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- TechCrunch · AINewsLaplace Intelligence uses AI to stress-test robots and self-driving cars in simulation
AILaplace Intelligence, a startup founded out of the University of Michigan, builds automated red-teaming software that uses AI agents to find failure points in robots, autonomous vehicles and smart city systems before deployment. CEO Howie Sun says its simulations are built from real-world data, such as Google Street View images and map data, and are based on a post-trained version of Nvidia's Cosmos. Customers include Isuzu and Bot Auto, and Laplace is competing in TechCrunch Disrupt's Startup Battlefield.
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