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Navier AI
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Navier AI
@NavierAI
Navier AI is building the first Agent-Driven Engineering platform. We believe engineers should focus on designing great products, not wrestling with software.
San Francisco, CA
navier.ai
Joined December 2023
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  • Navier AI reposted
    user avatar
    Navier AI
    @NavierAI
    May 18
    The Navier Agent turns one prompt into an end-to-end aero simulation workflow: • Dynamic compute, up to 192 cores • Run management • Automated issue triage • Report generation
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  • Navier AI reposted
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    Evan Kay
    @Evan_Kay
    Jun 4
    👀 @NavierAI
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  • user avatar
    Navier AI
    @NavierAI
    May 18
    The Navier Agent turns one prompt into an end-to-end aero simulation workflow: • Dynamic compute, up to 192 cores • Run management • Automated issue triage • Report generation
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    462
    user avatar
    Navier AI
    @NavierAI
    May 18
    Learn more:
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    Navier AI — AI-Powered CFD & Simulation Agents for Engineering
    From navier.ai
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  • user avatar
    Navier AI
    @NavierAI
    Apr 17
    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
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    Navier AI
    @NavierAI
    Apr 15
    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
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    Navier AI
    @NavierAI
    Apr 13
    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.
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    Navier AI
    @NavierAI
    Apr 10
    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.
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    Navier AI
    @NavierAI
    Apr 10
    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
    navier.ai
    Contact Navier AI — Book a Simulation Demo
    Talk to the Navier AI team about CFD automation, engineering agents, or a custom simulation pilot for your hardware program.
    125
  • user avatar
    Navier AI
    @NavierAI
    Apr 9
    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.
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    Navier AI
    @NavierAI
    Apr 8
    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. 🧵
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    Navier AI
    @NavierAI
    Apr 8
    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
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    Navier AI
    @NavierAI
    Apr 8
    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:
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    Data to Decisions in Minutes: How Navier's Post-Processing Agent Transforms Simulation Analysis |...
    From navier.ai
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  • user avatar
    Navier AI
    @NavierAI
    Apr 7
    Article cover image
    Article
    From Prompt to Flight Software: Building a Missile Evasion Simulation with Stella
    Suppose you need to simulate an air-to-air engagement: a F-16 detects an incoming IR-guided missile and executes a high-G defensive break turn to defeat it. You know the scenario parameters and you...
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    Navier AI
    @NavierAI
    Apr 7
    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.
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    Navier AI
    @NavierAI
    Feb 10
    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 👇
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    Navier AI
    @NavierAI
    Feb 10
    Replying to @NavierAI
    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.
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    user avatar
    Navier AI
    @NavierAI
    Feb 10
    4/ Ready to experience how agent-driven engineering can transform your development cycles? Join the waitlist today:
    navier.ai
    Contact Navier AI — Book a Simulation Demo
    Talk to the Navier AI team about CFD automation, engineering agents, or a custom simulation pilot for your hardware program.
    192
  • user avatar
    Navier AI
    @NavierAI
    Jan 14
    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.
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    Navier AI
    @NavierAI
    Jan 14
    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.
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    Navier AI
    @NavierAI
    Jan 14
    3/ Scenario construction, flight software generation, multi-body dynamics, automated filter design, requirements-based testing, and automated V&V reporting.
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