Neural Concept has launched its AI Design Copilot, an AI platform that integrates spatial reasoning, physics awareness and CAD-ready geometry generation at enterprise scale. The solution represents a shift toward engineering intelligence as the central AI layer guiding the entire design process from the initial design intent.
Engineers increasingly face complexity as products span multiple physics and domains, with more viable design options than can be explored manually. Traditional CAD workflows struggle to keep up, and generic LLMs lack sufficient geometric and physical understanding. Neural Concept’s AI Design Copilot addresses these challenges by allowing engineers to iterate across full design sets, explore multiphysics variants and move from single concept work to continuous, comparative discovery. The AI Design Copilot is launching as a new feature within the Neural Concept platform, with broader access planned later this quarter.
“Our AI Design Copilot closes the loop from concept to decision, enabling engineers to explore, test and refine designs at a scale that simply wasn’t possible before,” said Dr Pierre Baqué, CEO and founder of Neural Concept. “What we’re seeing across our customers is a fundamental change in how teams work: evaluating more design scenarios in parallel, uncovering optimizations earlier and moving faster from concept to validation. This is Engineering AI emerging as the next great industrial shift that will empower engineers to focus on the hardest problems and deliver more efficient, safer, higher-performing products that will transform the world for the better.”
The physics and geometry-aware platform enables instant generation of CAD-ready models from high-level design ideas. The AI Design Copilot converts engineer intent into manufacturing-ready models, reducing work timelines and enabling configuration of design spaces. Engineers can explore 10 to 1,000 times more design variants per iteration, evaluating more alternatives and optimizing designs much faster. The copilot integrates seamlessly with multiphysics simulations, including thermal, fluid dynamics, crash and electromagnetics, and cuts manual workload by up to 90%. As an open engineering intelligence platform, Neural Concept and the copilot integrate with leading AI and 3D visualization ecosystems, including Nvidia Omniverse.
In related news, Innoviz and Vueron create AI-powered toolset for automated lidar data annotation and training