Navier AI provides an Agent-Driven Engineering platform that automates complex simulation workflows including CFD, FEA, and GNC. The platform utilizes purpose-built solvers integrated by AI agents to manage setup, execution, and analysis from concept through validated design. This allows engineers to computationally explore the full design space efficiently by automating the simulation loop.
Funding
$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Traditional Computational Fluid Dynamics (CFD) simulations rely on explicit numerical solvers that are computationally intensive and time-consuming, hindering rapid design exploration and optimization. Setting up these solvers is complex, creating a barrier to entry for engineers and slowing down the overall engineering workflow.
Solution
Navier AI offers a Physics-ML solver that accelerates CFD simulations by up to 1000x compared to traditional methods. The solver is trained on extensive, high-quality simulation data and fine-tuned with experimental results to ensure precision and accuracy. This enables real-time analysis and analysis-in-the-loop design optimization, allowing engineers to explore design spaces more quickly and efficiently. By lowering the barrier to entry for CFD, Navier AI empowers aerospace and mechanical engineers to create high-performance designs with reduced time and complexity.
Target Audience
The primary users are aerospace and mechanical engineers who require rapid and accurate CFD simulations for design and analysis.
Features
- Physics-ML solver trained on extensive simulation and experimental data
- Up to 1000x faster CFD simulations compared to traditional explicit numerical solvers
- Enables real-time analysis and design optimization
- Lowers the barrier to entry for complex CFD simulations
- Facilitates faster exploration of design spaces