Laplace Intelligence Tests Physical AI with Simulation
Ann Arbor-based Laplace Intelligence tests physical AI systems, such as robots and autonomous vehicles, in simulation environments before real-world testing.
Ann Arbor-based Laplace Intelligence is developing an automated technology that tests physical AI systems, such as robots and autonomous vehicles, in a simulation environment before they hit the field.
Simulation Tests for Physical AI
Laplace Intelligence is developing automated red-teaming tests to prevent AI agents from failing in the real world.
The company's primary goal is to enable companies to discover issues before they are deployed and to establish a foundation that regulators can trust.
Academic Origins and Research Foundations
The company was founded a year ago at the University of Michigan by CEO Howie Sun and chief scientist Henry Liu.
A paper written by the founders on autonomous driving AI in 2023 was featured on the cover of Nature magazine.
High-Fidelity Simulation Infrastructure
The system combines a high-fidelity simulation recreated from the real world with an AI agent that constantly searches for vulnerabilities.
The simulation environment uses a version of Nvidia's Cosmos AI world simulation platform powered by real-world data.
Customer Base and Commercial Activities
The company has already generated revenue and works with customers such as autonomous trucking firm Bot Auto.
They are also participating in a joint smart city pilot project for San Jose with Nvidia and T-Mobile.