# Navier AI

> Navier turns a plain-language request and a geometry file into a meshed, solved, and reviewed simulation study, delivered as an inspectable engineering report. Fluids, structures, thermal, multibody, and electromagnetics. Forward-deployed engineers available for scoped engagements.

Navier AI is an engineering simulation company. Our platform combines
AI agents with classical CFD, FEA, electromagnetics, and flight-software
tooling so hardware teams can run validated simulations in hours instead
of weeks. Agents are always supervised by expert engineers.

## Product

- [Engagements](https://www.navier.ai/services): Navier's engineers embed with your team to get AI working inside your engineering organization: running the simulation studies, building the workflows around them, and leaving the capability behind.
- [Case Studies](https://www.navier.ai/case-studies): Check Navier's engineering work: transonic wind-tunnel validation, a free-surface hull validated against towing-tank sinkage, and a verified data-center cooling design study.
- [ONERA M6 Transonic Validation](https://www.navier.ai/case-studies/onera-m6): Surface pressure validated against AGARD AR-138 — 270 of the 271 wind-tunnel taps at Mach 0.8395, with the λ-shock captured and merging between η = 0.80 and 0.90. Forces are compared code-to-code against a NASA multi-code reference; there is no measured lift or drag for the M6.
- [Wigley Hull Free-Surface Validation](https://www.navier.ai/case-studies/wigley-hull): The 3 m Wigley hull run at five Froude numbers against the 1983 cooperative towing-tank measurements. Sinkage stayed within 1.03 mm at every speed, and total resistance carries a ±2.10% numerical uncertainty across a converged grid family.
- [Data-Center Cooling Layout](https://www.navier.ai/case-studies/datacenter-cooling): See how Navier combines AI-enabled simulation workflows with expert engineering review to turn a data-center cooling layout into a verified CFD decision package.

## Blog

- [Navier AI Awarded AFWERX Phase I SBIR to Build a Geometry Reasoning Layer for Engineering Agents](https://www.navier.ai/blog/2026-08-18-navier-awarded-afwerx-phase-1-sbir): Navier AI has been awarded a Phase I SBIR from AFWERX to explore an ontology-based geometry embedding layer that gives AI agents the ability to reason about parts, features, and spatial relationships instead of guessing.
- [Getting the λ-Shock Right: ONERA M6 Transonic Validation](https://www.navier.ai/blog/2026-08-04-onera-m6-validation): The standard transonic benchmark, run against 270 of the 271 published pressure taps. The double-shock structure comes out right and merges where the experiment puts it — and decomposing our own drag killed our first explanation for the part that did not.
- [From Prompt to Flight Software: Building a Missile Evasion Simulation with Stella](https://www.navier.ai/blog/2026-03-22-prompt-to-flight-software-stella): Stella, our agentic GNC platform, eliminates the path from scenario concept to working simulation code. Describe the engagement. Stella generates the simulation, flight software, guidance laws, autopilots, and runs SIL with up to a 50x speedup over traditional tooling.
- [Data to Decisions in Minutes: How Navier's Post-Processing Agent Transforms Simulation Analysis](https://www.navier.ai/blog/2026-03-03-faster-speed-to-insights): The gap between 'simulation complete' and 'actionable insight' is shockingly slow. Navier's Post-Processing Agent closes that gap, compressing hours of manual work into minutes.
- [Silent Bugs, Lost Missions: Why GNC Flight Software Is Moving to Rust](https://www.navier.ai/blog/2026-02-25-Silent-Bugs-Lost-Missions): The history of spaceflight is full of hundred-million dollar lessons in what happens when flight software hits edge cases. Rust eliminates entire classes of bugs that end missions.
- [Engineering Without Boundaries: Building a Unified Engineering Platform from Physics to Flight](https://www.navier.ai/blog/2026-02-12-engineering-without-boundaries): Explore how Navier AI's Agent-driven platform unifies CFD, GNC, FEA, and flight software into a single continuous workflow.
- [Introducing Agent-Driven Engineering: The Future of Hardware Design](https://www.navier.ai/blog/2025-01-15-introducing-agent-driven-engineering): Discover how Agent-Driven Engineering is transforming hardware design workflows, enabling engineers to focus on innovation while AI agents handle repetitive tasks.
- [Navier Raises $5.6M to Deploy Agent-Driven Engineering, the Next Engineering Unlock After CAD and Simulation](https://www.navier.ai/blog/2024-12-15-navier-raises-5-6m-seed-funding): Navier announces $5.6 million in seed funding and its launch from stealth, bringing autonomous engineering teams to hardware design and development.

## Company

- [About Navier AI](https://www.navier.ai/company): The team behind agent-driven engineering.
- [Contact](https://www.navier.ai/contact): Book a simulation demo or discuss a pilot.

## Optional

- [Sitemap](https://www.navier.ai/sitemap.xml)