How Neural Concept is Scaling AI-Native Engineering

Neural Concept, revolutionizing how customers design their products by speeding up R&D cycles, augmenting product performance and solving their next engineering challenges, led by Dr Pierre Baqué, Théophile Allard, Dr Jonathan Donier, Thomas von Tschammer, and Philippe Cuendet, has raised a $100 million Series C funding round led by Growth Equity at Goldman Sachs Alternatives, with participation from existing investors Forestay Capital, Alven, HTGF, D. E. Shaw Ventures, and Aster Capital. Neural Concept’s Series C marks the company’s latest funding milestone following its $27 million Series B in 2024.  

Neural Concept is transforming engineering workflows with CAD-native enterprise AI that understands geometry, constraints, and design intent. The platform enables physics-aware design copilots that help teams explore millions of design options earlier, reduce late-stage changes, and accelerate product development.

The investment round reflects rising demand for enterprise AI with real-world impact. As teams move from experimentation to deployment, Neural Concept has established itself as a leader in AI-native engineering, driving strong growth across automotive, aerospace and defense, energy, semiconductors, and consumer electronics.

“Neural Concept’s technology marks a rare leap in enterprise engineering AI,” said Lambert Diacono of Goldman Sachs Alternatives. “As demand for impactful AI in complex industrial workflows grows, Neural Concept is emerging as a market leader,” added Christian Resch.

The funding will support accelerated product development, including the launch of a breakthrough generative CAD capability in early 2026, expansion of global GTM teams, and a stronger position as the intelligence layer across engineering systems through deeper partnerships with Nvidia, Siemens, Ansys, Microsoft, and AWS.

“Neural Concept was founded to enable AI-driven design of advanced systems,” said CEO Dr. Pierre Baqué. “AI is turning engineering into a data-driven workflow, and this investment accelerates the goal of becoming the intelligence layer for engineering teams worldwide.”