New tool combines physics-aware AI and CAD-ready geometry to help teams explore millions of design variants across industries.
Neural Concept announced the launch of its ground-breaking AI Design Copilot, the first to combine spatial reasoning, physics awareness, and CAD-ready geometry generation at enterprise scale. This function marks a paradigm shift toward Engineering Intelligence as the central AI layer steering the entire design process, starting from design intent. Neural Concept’s launch of its AI Design Copilot builds on the company’s rapid market growth, strengthened last month by its $100 million Series C round, led by Goldman Sachs.
Today’s engineers face unprecedented complexity as products now span multiple physics and domains, and the number of viable design options now far exceeds what engineering teams can manually explore. Meanwhile, manual CAD workflows can’t keep pace, and generic LLMs break down due to insufficient geometric and physical understanding. Neural Concept’s AI Design Copilot eliminates these constraints by allowing engineers to iterate on full design sets, explore millions of variants across multi-physics systems, and shift work from individual concepts to continuous, comparative discovery across automotive, aerospace, semiconductors, consumer electronics and energy and industrial systems. The AI Design Copilot is launching as a new capability within the Neural Concept platform, with expanded access planned later this quarter.
Unlike other AI solutions that offer limited design-generation tools and text-based reasoning, Neural Concept’s platform is physics and geometry-aware, offering capabilities that include:
- Instant generation of CAD-ready geometry from high-level design ideas: the AI Design Copilot turns engineer intent into manufacturing-ready models, compressing weeks of manual modelling into minutes and enabling teams to configure design spaces in a fraction of the time.
- Exploration of 10 to 1,000 times more design variants per iteration: engineers can investigate vastly expanded design spaces, evaluate more alternatives and optimize designs with remarkable speed.
- Seamless integration with multi-physics simulations: from thermal management and fluid dynamics to crash and electromagnetics, the AI copilot extends the Neural Concept Platform’s proven intelligence into the first step of design — cutting manual workload by up to 90%, and enabling faster, smarter decisions within existing workflows.
As an open Engineering Intelligence platform, Neural Concept and the new copilot integrate with leading AI and 3D visualization ecosystems — including NVIDIA Omniverse — enabling scalable visualization and evaluation of complex engineering designs within existing industrial workflows.
Over the past 18 months, the company has quadrupled its enterprise revenue and now serves more than 50 global enterprise customers, including Subaru, General Motors, General Electric, Leonardo Aerospace, and four Formula 1 teams, and will continue to innovate with AI-driven design workflows and expand the capabilities of its Engineering Intelligence platform.
For more information, visit neuralconcept.com.
