Fluid Intelligence
High-fidelity, AI-native flow simulation.
We build the simulations physical AI learns from.
AI that acts in the physical world is increasingly trained in simulation. If the simulated water or air is wrong, the model learns the wrong physics.
Our CFD solvers are AI-native and written for GPUs, so they run much faster than general-purpose tools. They handle multiphase flow and fluid–structure interaction on real-world geometry, and we rigorously verify and validate them. We are also developing quantum algorithms for flow simulation.
Applications
- Physical AI
- Ocean and wind energy
- Water treatment
- Chemical and process industries
- Environment and climate
- Health and life sciences
Co-founders
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Lian ShenChief ScientistDistinguished McKnight University Professor and Kenneth T. Whitby Professor of Mechanical Engineering, University of Minnesota. Director of the St. Anthony Falls Laboratory and Fellow of the American Physical Society.
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Tianyi LiCEOFormer principal investigator at Lawrence Livermore National Laboratory. Expert in high-performance and GPU computing.
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Han LiuCTOResearcher at the University of Minnesota. Expert in GPU-accelerated computational fluid dynamics.
Bring us a flow you can’t simulate.
Minneapolis, MN · Fremont, CA