# Navier AI > Design, simulate, and code in one platform, driven by agents. In Prism, an engineering agent plans the work, runs your solvers, and reports back. Navier AI makes Prism, the AI platform for hardware engineering. Design, simulate, and code in one platform, driven by agents. Our engineers also work with teams directly. ## Key facts (as of October 2026) - Prism is a native desktop app: an engineering agent, a code editor, a 3D viewport, and a local solver runtime in one window, working on files on your own machine. - Platforms: macOS on Apple Silicon, Windows on x86-64, Linux on x86-64. - Price: $500 per seat per month. The download is free; sign in with a Navier account after installing. - Solvers: Ferro (structural FEA) is built in. OpenFOAM, SU2, Basilisk, code_aster, CalculiX, Elmer, Yade, Project Chrono, OpenModelica, Palace, openEMS, and ngspice install from inside Prism. - Open-source solvers run as containers on your machine, so they need a container engine such as Docker. Prism's own solvers need nothing extra. - Navier engineers also run simulation engagements and forward deployed engineering, scoped per project. - Documentation: https://docs.navier.ai (index for AI tools: https://docs.navier.ai/llms.txt) ## Product - [Prism](https://www.navier.ai/prism): Prism is a desktop app for hardware engineers. The agent sets up, runs, and reports. You make the calls. - [Download](https://www.navier.ai/prism/download): Download Prism for macOS, Windows, or Linux. - [Engagements](https://www.navier.ai/engagements): Our engineers run simulation work for your team and bring Prism into your workflows. See the studies we've published, from wind-tunnel validation to data-center cooling. - [Pricing](https://www.navier.ai/pricing): Prism is one plan with the agent included. Forward deployed engineering and engagements are scoped with you. - [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): A dense cooling yard loses about 12% of its capacity to its own exhaust. Four layouts compared in CFD; the best cuts that to about 5%. - [Jet-Mixed Tank Sludge Deposition](https://www.navier.ai/case-studies/tank-sludge): A 12 m jet-mixed storage tank where the only variable is nozzle aim. Radial jets leave 90% of the floor below the shear stress that mobilizes settled sludge; turned 53° they leave 62%, sweeping 4.0× more floor for no new hardware and less pump-side head. - [Heat Exchanger Inlet Duct Uniformity](https://www.navier.ai/case-studies/hx-duct): A short-radius elbow delivers 13.8% RMS non-uniformity across a heat exchanger tube face, against a 10% purchase specification. Turning vanes clear it and take 26 Pa off the fan; vanes with a distribution plate reach 1.9%, still cheaper to run than the duct as drawn. - [Natural Ventilation in a Glazed House](https://www.navier.ai/case-studies/house-vent): A heavily glazed house with both openable windows at the same height: 13 air changes an hour in a 3 m/s breeze, 0.73 in still air, and a mezzanine at 35.7 °C. Roof vents 4.5 m higher remove the dependence on the weather; shading reaches a similar place on a fraction of the air flow. - [Jet Mixing in a Stratified Water Tank](https://www.navier.ai/case-studies/tank-mixing): A transient simulation of jet mixing in a stratified 246,727-gallon potable water tank. Destratification orders on inlet momentum flux, not flow rate and not Froude number: half the flow through a throttled port mixes as well as twice the flow through a fixed nozzle. - [CFRP Composite Layup Trade Study](https://www.navier.ai/case-studies/composite-layup): Four carbon/epoxy stacking sequences on the same bolted-edge plate, same plies and same mass, under 0.02 MPa. Only the unidirectional stack passes, at a margin of +0.87; the quasi-isotropic stack fails first, at 10.1 kPa. In every layup the matrix cracks before any fibre comes close. ## 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. - [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): Talk to an engineer about a problem or an engagement. ## Optional - [Full text for AI tools](https://www.navier.ai/llms-full.txt) - [Sitemap](https://www.navier.ai/sitemap.xml)