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Neural Concept raises USD 100 million to scale AI-native engineering

Tech

22 December 2025

Lausanne-based Neural Concept has closed a USD 100 million Series C funding round to accelerate the global deployment of its AI-native engineering platform. Neural Concept Leadership team (L-R clockwise): Philippe Cuendet, COO; Pierre Baqué CEO & Co-founder; Théophile Allard, CTO & Co-founder; Thomas von Tschammer, Managing Director US & Co-founder; Jonathan Donier, CSO & Co-founder | © Neural Concept

Lausanne-based Neural Concept has closed a USD 100 million Series C funding round to accelerate the global deployment of its AI-native engineering platform.

Neural Concept, a global provider of AI-driven engineering software spun out of EPFL, has raised USD 100 million in a Series C funding round led by Growth Equity at Goldman Sachs Alternatives. Existing investors Forestay Capital, Alven, HTGF, D. E. Shaw Ventures and Aster Capital also participated in the round. The funding marks the company’s latest milestone following a USD 27 million Series B in 2024.

Founded in 2019, Neural Concept has developed an AI-first engineering platform designed to operate natively within computer-aided design and simulation environments. Its technology understands geometry, constraints and design intent, allowing engineering teams to deploy physics-aware design copilots and explore millions of design options earlier in the development process. According to the company, this approach helps avoid late-stage redesigns, shortens development cycles and accelerates time to market.

The platform is already used by more than 50 global industrial companies, including players in automotive, aerospace and defense, energy, semiconductors and consumer electronics. Neural Concept reports a fourfold increase in enterprise revenue over the past 18 months, reflecting growing adoption as engineering organizations move from AI experimentation to large-scale deployment.

Industry impact and global expansion

Neural Concept estimates that its customers collectively save around USD 50 million annually through reduced redesign costs and more efficient development workflows, with late-stage changes cut by 30 to 50 percent and time-to-market reduced by up to two years. These results underline the increasing role of AI as a core productivity layer in advanced engineering environments.

The new funding will support accelerated product development, including the launch of a generative CAD capability planned for early 2026. Neural Concept will also expand its global go-to-market teams and strengthen its position as an intelligence layer across engineering systems. In parallel, the company plans to deepen partnerships with major technology providers such as Nvidia, Siemens, Ansys, Microsoft and AWS.

“Our ambition is to enable fully AI-driven design of advanced systems,” said Pierre Baqué, founder and CEO of Neural Concept. “This investment allows us to fast-track our progress toward establishing an intelligence layer powering engineering teams worldwide.”