Neural Concept

What is Neural Concept?

Neural Concept is an AI-first engineering platform that accelerates product development with generative CAD and fast multi-physics prediction. The vendor describes it as a co-pilot for engineering teams that automates design iterations.

Key capabilities of Neural Concept

• Generative CAD: AI-driven design generation and iteration
• Multi-physics decisions: predicts results across aerodynamics, thermal, structural and electromagnetic domains
• Design optimization: automates iteration to cut development time
• CAD connectivity: works with NX, CATIA and SolidWorks
• Simulation connectivity: ANSYS, Abaqus, StarCCM+, Moldflow, CFX and MotorCAD
• Knowledge sharing: scales engineering know-how across teams

How Neural Concept works

Engineers connect the platform to existing CAD and simulation tools, so past designs and simulation results inform AI models that predict outcomes for new designs. Teams iterate on designs faster and collaborate in shared workflows.

Who uses Neural Concept?

Engineering organizations in automotive, aerospace and energy. The vendor lists General Motors, Williams Racing, Subaru, Airbus, GE Renewable Energy, Safran, Eaton, NVIDIA and Microsoft as customers.

Neural Concept pricing

Neural Concept does not publish pricing and sells through sales conversations.

Neural Concept alternatives

Monolith AI offers machine learning for test and simulation data, NVIDIA NeMo is a framework for training generative AI models, and Lightning AI, DeepSpeed and ONNX are general machine learning tooling rather than engineering applications.