Navier AI
Real-Time CFD Simulations
Navier AI is making CFD 1000x faster with their ML-based solver. Physics simulations, such as Computational Fluid Dynamics (CFD), are essential across many industries ranging from the design and analysis of aircraft, to weather prediction, to the development of medical devices. Today’s simulation tools use explicit numerical solvers for physical equations, such as the Naiver-Stokes equations. These solvers are complex to setup and can take ages to produce results. Navier AI is building 1000x faster simulations using physics-ML solvers. Navier AI's fast CFD platform will enable engineers to quickly explore design spaces and perform analysis-in-the-loop design optimization. They are lowering the barrier to entry for aerospace and mechanical engineers to create high performance designs.
Active Founders
Cameron Flannery, Founder
Cameron is an Aerospace Engineer and the cofounder of Navier AI. Cameron has built rocket engines, satellites, hydrofoiling containerships, and autonomous trucks in his career at some of the top engineering companies in the world. Formerly at SpaceX, Tesla, Aurora Innovation, Astranis, and Boundary Layer Technologies.
Evan Kay, Founder
Evan is an Aerospace Engineer and the co-founder of Navier AI. Evan formerly worked at SpaceX and General Atomics, where he was designing and metal 3D printing rocket engine and aircraft components. Prior to Navier AI, Evan was also a hard tech investor at Anzu Partners, where he invested in early-stage industrial technologies.
Company Launches
TLDR:
Navier AI’s ML-accelerated CFD solver makes fluid dynamics simple and easy. We’re supplementing traditional numerical methods with machine learning models and a modern UX to enable engineers to iterate faster and build better products.
Navier AI was founded by Cameron and Evan — former SpaceX rocket scientists with experience building software, hardware, and AI at the world’s leading companies.
❌ Problem: Engineering simulation software is broken
- Complexity Overload: Analysis tools are overly complex with an ancient UX, requiring years of experience to become proficient. Today’s Engineers would rather build and test a physical prototype than simulate it.
- Simulations are too Slow: The speed of design iterations is crucial for hardware companies, but even simulations frequently require HPC and take hours to run.
- Repeating mistakes: Today's simulations don't capitalize on previous experiences. Every time an engineer runs a simulation on wing, they start from scratch, ignoring the wealth of data from thousands of similar past simulations.
👥 Solution: Fast CFD, Modern UX
Navier AI is making CFD 1000x faster with an ML-based solver so engineers can simulate fluid dynamics in real time. We train our model on high-quality simulation and experimental data, providing engineers the reliability needed to design and optimize the mission-critical parts faster.
Our model, combined with a modern UX, enables engineers to produce engineering quality CFD results at 1000x the speed for a fraction of the cost. This enables engineers to build better products faster by understanding performance earlier and performing analysis-in-the-loop optimizations.
We’re making fluid dynamics fast, easy, and accessible so that any engineer can iterate and optimize without being throttled by their software.
🚀 About Us: We’ve built and launched land, sea, air and space vehicles
Cameron and Evan are Aerospace Engineers, first joining forces nearly a decade ago to start a liquid rocket propulsion organization at UC San Diego. Together, they’ve fostered innovation across hardware and software at leading companies such as:
🗨️ Sign Up for Early Access
If you’re an engineer who wants to build and optimize hardware faster, let’s chat! We’re working with early partners to accelerate engineering workflows at the intersection of the digital and physical worlds.
Reach out to founders@navier.ai
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