Navier AI

Engineering is deeply coupled. Our tools aren’t. CFD, FEA, and GNC all live in silos. Every handoff = lost context. Prism brings them into one workspace, one source of truth. Multidisciplinary design, natively. Learn more about Prism at navier.ai/prism

This GTO mission was built end-to-end by Stella in <30 minutes. From trajectory design → production-grade Rust flight software → fully simulation-verified GNC. When iteration takes minutes, you don’t run one sim, you explore hundreds. Learn more at navier.ai/prism

Most mission concepts die before they are simulated. Stella changes that. We spun up an 8-sat SDA tracking constellation (design, orbits, sensors, tracking logic) in under 10 minutes from a single prompt. Explore 25 concepts in the time it used to take to stand up one.

At Navier AI, we're building the simulation layer autonomy depends on. Agent-driven GNC, CFD, and FEA. All built for the pace this budget implies. Building the systems DAWG is about to fund? Let's make sure your simulation stack can keep up. Book a demo today:navier.ai/contact

The Pentagon's Defense Autonomous Warfare Group (DAWG) budget is reportedly jumping from $225M to $54.6B in one year. That's a 24,166% increase. Autonomy just became a pillar of US defense spending. The question is whether the simulation stack underneath it can keep up.

What if FEA ran itself? Ferro, our agentic FEA platform, autonomously handles meshing, boundary conditions, solving, and design iteration. No manual intervention required. This is Agent-Driven Engineering. Engineers decide what matters. Agents handle the rest.

In the example above, the agent analyzed a full NACA 2412 AoA sweep, correlated results with experimental data, and generated a comprehensive report in under 10 minutes. Days → minutes. Your senior engineers get their time back. Read more here: navier.ai/blog/2026-03-0…

It reads outputs from your existing solver stack, interprets the physics, and generates customizable stakeholder-ready reports autonomously. And it goes beyond plots. The agent automatically identifies separation zones, detects anomalies across cases, evaluates convergence, and recommends next steps. Scripting alone cannot replicate this.

Your best engineers shouldn't be living in PowerPoint. Post-processing a multi-case CFD or FEA sweep means hours clicking through ParaView, debugging plot scripts, and assembling slide decks. Navier's Post-Processing Agent closes that gap. 🧵

Monte Carlo analysis is how GNC engineers build confidence a vehicle will fly - or survive. Setting one up has always been a chore. Stella collapses it into a single prompt. Histograms, scatter plots, sweeps back in minutes. More campaigns. More confidence per engineering hour.

4/ Ready to experience how agent-driven engineering can transform your development cycles? Join the waitlist today: navier.ai/contact

3/ 🤖 Improved Agentic Workflows Our agents are now more context-aware — able to: • Work across cases • Synthesize complex engineering data • Build detailed post-processing pipelines automatically From raw outputs → decision-ready analysis, faster than ever.

1/ Navier AI v0.3.0 is live! 🚀 This release is a major step forward in the usability of agent-driven engineering workflows across the platform. Here’s what’s new 👇

3/ Scenario construction, flight software generation, multi-body dynamics, automated filter design, requirements-based testing, and automated V&V reporting.

2/ Run software-in-the-loop from day one. GNC and software teams work on the same artifact — no late-stage integration surprises, no one-way workflows, no blackbox code gen.

1/ Introducing STELLA — Navier AI's GNC library and AI agent for space systems. One codebase from simulation to orbit. Your models become flight code.

Today we’re publishing our manifesto: Introducing Agent-Driven Engineering. Faster physics alone won’t unlock the future of hardware. The real constraint is the human loop around engineering workflows — setup, babysitting, and iteration. We’re building AI engineering agents that can plan and execute those workflows autonomously: mesh studies, simulation batches, convergence checks, and results aggregation. If code copilots transformed software, engineering autonomy will transform how we build everything physical. Read the manifesto ↓ navier.ai/blog/2025-01-1… #AgentDrivenEngineering #Hardware #CFD #Simulation #AI #EngineeringAutonomy

@ycombinator Thanks, @ycombinator!

Congrats to @NavierAI on their $5.6M seed! Engineering has undergone two major shifts: CAD replaced manual drafting (1960s), then simulation enabled virtual testing (1990s). Navier introduces the third: Agent-Driven Engineering (ADE). Their AI agents automate repetitive workflows between design and engineering, enabling teams to triple output and compress cycles from months to weeks. Built on autonomous vehicle tech from SpaceX, Tesla, and Aurora, they're already working with aerospace and automotive companies. axios.com/pro/enterprise…