Neural Concept on Azure
pateikė Neural Concept
Reduce design time by over 50% with Neural Concept's scalable AI-driven engineering platform.
Neural Concept is a platform for systematic, AI-driven product development, built for engineering and physics at enterprise scale. It acts as the intelligence layer across your existing engineering stack, turning fragmented tools, siloed data, and isolated know-how into a compounding advantage.
By combining physics-aware AI with agentic orchestration where engineers already work, Neural Concept helps teams move faster, make better decisions, and compress development cycles from weeks to days.
Natively integrated with CAD and CAE environments, Neural Concept enables instant performance predictions, automated design exploration, and physics-grounded reasoning. The result is a more systematic engineering process that increases team productivity while building reusable engineering knowledge across programs.
Key Technologies
Design Intelligence: Automatically explore and rank thousands of design variants early in the concept phase, surfacing the best-performing geometries before committing to costly simulation.
Physics AI: Physics-aware AI that trains on your own simulation data, runs on the infrastructure of your choice, and stays owned by your organization.
Engineering Reasoning: AI-orchestrated pipelines that remove geometry preparation, remeshing, and manual handoffs from every iteration, connecting predictions, constraints, and objectives to guide where and why to iterate next.
Integrations & Deployment
Native CAD/CAE integration: Works inside your existing engineering stack rather than replacing it, connecting to leading CAD and simulation tools.
Enterprise-ready on Azure: Scalable, secure deployment with your data and models kept private to your organization.
Multi-physics coverage: Internal and external fluid
Internal and external fluid dynamics,
thermal analysis,
static and dynamic structural analysis,
electromagnetics, and
optics.