Navier AI is an AI-driven engineering simulation automation platform founded by former SpaceX and Tesla engineers. By leveraging physics-informed neural network technology, it speeds up CFD and other simulations by up to 1000x.
Its core technology is using physics-informed neural networks to directly solve fluid governing equations, avoiding the need for dense CFD grids, enabling efficient handling of complex scenarios such as high-Reynolds-number turbulence and achieving ultra-fast simulations.
Primarily serves aerospace, automotive, manufacturing, renewable energy, and medical device sectors, suitable for engineering scenarios requiring efficient, complex fluid and multi-physics simulations.
Navier AI uses a cloud-based delivery model with pay-as-you-go pricing based on actual resource usage; users do not need to purchase expensive seat licenses or invest in upfront infrastructure.
The platform's AI models are trained on large amounts of high-quality simulations and experimental data, and adhere to physical principles, ensuring engineering-grade accuracy and reliability, and can also act as surrogate models that work with high-precision traditional solvers.
The platform provides a modern UI and API that can be seamlessly integrated into a company's CAD/CAE software ecosystem and engineering design workflows, supporting flexible parameter adjustment.
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