Navier AI

Navier AI is a revolutionary platform designed to automate and accelerate complex engineering simulations. At its core is an autonomous AI agent, named Stokes, that emulates the thinking and decision-making process of a senior engineer. This agent can be deployed directly within your team's Slack workspace, transforming a simple natural language request into a comprehensive simulation workflow. This eliminates the manual, time-consuming steps traditionally associated with setting up, running, and analyzing simulations.

The platform provides an integrated, cloud-native environment that brings together industry-standard simulation tools, proprietary physics-informed AI models, and advanced visualization capabilities. By leveraging the power of OpenFOAM for reliable Computational Fluid Dynamics (CFD) simulations, Navier AI ensures accuracy and transparency. The system is designed for continuous learning; with every simulation and interaction, the AI agent becomes smarter, faster, and more attuned to your team's specific engineering challenges, recognizing patterns and optimizing performance over time.

How to use Navier AI

The workflow is designed for maximum simplicity and efficiency, integrating seamlessly into existing communication channels.

1. Initiate via Slack: An engineer sends a message to the 'Stokes' AI agent in a Slack channel. The request is made in plain English, for example, "@stokes I need a CFD analysis for our wing design at high AoA. Can you check for pressure variations?"
2. Autonomous Workflow Execution: The AI agent immediately parses the request. It analyzes the provided geometry (e.g., a CAD file), determines the appropriate simulation parameters, generates an adaptive mesh with necessary refinements (like boundary layers), and sets up the correct turbulence model (e.g., RANS k-ω SST).
3. Simulation and Monitoring: The agent runs the complete simulation on its cloud infrastructure, providing real-time progress updates directly in the Slack channel, including the estimated time of completion.
4. Results Delivery: Upon completion, the agent delivers a full analysis. This includes generated reports, pressure coefficient plots, flow visualizations, identification of key phenomena like separation points, and even actionable design recommendations. Users can access a full interactive dashboard for deeper analysis.

Core Features of Navier AI

• Autonomous Engineering Agent: An AI that understands engineering requests, makes intelligent decisions, and orchestrates end-to-end simulation workflows without manual intervention.
• End-to-End Orchestration: From geometry analysis and meshing to solver configuration, execution, and post-processing, the agent handles the entire process autonomously.
• Continuous Learning: The AI learns from every simulation, conversation, and outcome, continuously improving its speed, accuracy, and domain-specific expertise.
• Proactive Insights: The agent goes beyond automation to identify potential design flaws, suggest optimizations, and flag performance bottlenecks before they become critical problems.
• Integrated Platform: A unified cloud-native workspace combining CFD simulations (powered by OpenFOAM), proprietary physics-informed AI models, and advanced 3D visualization tools (web and desktop).
• Seamless Slack Integration: Allows engineers to launch and manage complex simulations using simple text commands in a familiar collaborative environment.

Use Cases for Navier AI

Navier AI is ideal for engineering teams across various industries looking to accelerate their research and development cycles.

• Aerospace Engineering: Rapidly analyze airfoil and wing designs at various angles of attack, assess aerodynamic performance, and optimize for lift and drag.
• Automotive Design: Simulate external aerodynamics to reduce drag, analyze under-hood thermal management, and optimize intake/exhaust systems.
• Industrial Equipment: Analyze fluid flow in pumps, valves, and turbines to improve efficiency and predict performance.
• Digital Twin Implementation: Develop and deploy end-to-end digital twins of physical assets, integrating real-time data for predictive maintenance and performance optimization.

Advantages of Navier AI

• Massive Time Reduction: Claims up to a 95% reduction in the time required to get from a design concept to actionable simulation results.
• 24/7 Autonomous Operation: Simulations can be run around the clock without the need for constant human supervision, maximizing productivity.
• Democratization of Expertise: Provides access to senior-level simulation expertise through an AI, enabling junior engineers to perform complex analyses.
• Zero Manual Intervention: Frees up highly skilled engineers from tedious, repetitive setup tasks, allowing them to focus on innovation and high-level problem-solving.
• Enhanced Collaboration: Centralizes simulation requests and results within Slack, improving visibility and communication across the engineering team.

Pricing and Plans

Navier AI's pricing information is not publicly listed on the website. The platform is currently available through an application for beta access. They also offer a range of professional services, including consulting, Simulation as a Service, and custom AI model development. Prospective customers are encouraged to contact the sales team or apply for the beta program to receive a custom quote tailored to their specific needs and scale of operation.