SIMD
SIMD provides an agent-first physics simulation platform that converts natural-language descriptions of CFD analyses into complete simulation setups, including mesh, boundary conditions, solver settings, and turbulence models. The platform offers real-time residual monitoring and AI-generated reports that explain convergence and field behavior, enabling engineers to focus on results rather than setup overhead. It supports use cases such as cryogenic fluid behavior, space re-entry heating, and thermal system optimization.
- AI Agents
- Artificial Intelligence
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Traditional computational fluid dynamics (CFD) workflows are setup-heavy, requiring engineers to manually configure meshes, boundary conditions, solver settings, and turbulence models. This complexity creates a steep learning curve and consumes significant time, delaying the delivery of simulation results and limiting accessibility for non-specialists.
Solution
SIMD offers an agent-first physics simulation platform that shifts CFD into an intent-driven era. Users describe their desired simulation in natural language, and SIMD's AI agent interprets the physics, detects geometry patches, and automatically generates a complete simulation setup—including mesh, boundaries, solver configuration, and turbulence model. The platform provides real-time residual monitoring and AI-generated reports that explain convergence and field behavior, allowing users to ask questions about their results and understand what happened and why. This approach reduces setup overhead and delivers answers rather than raw data, making simulation accessible to a broader range of engineers.
Target Audience
Primary users are aerospace, energy, and thermal systems engineers who need rapid CFD insights without deep simulation expertise, as well as organizations seeking to streamline their existing CFD workflows.
Features
- Prompt-based simulation: natural-language input interpreted by an AI agent to generate full simulation configurations
- Automatic geometry patch detection and mesh generation from imported CAD and mesh files
- Real-time residual monitoring with AI-generated reports on convergence and field behavior
- Interactive Q&A capability for users to query simulation results and receive explanations
- Support for diverse use cases including cryogenic fluid behavior, tank pressurization, phase change dynamics, space re-entry heating, nozzle flows, spacecraft thermal management, heat exchangers, electronics cooling, and conjugate heat transfer
- Integration with NVIDIA startup ecosystem and Origin Builders for scalable deployment