Neural Concept Raises $100M Series C Round to Push AI Deeper Into Engineering
Neural Concept, the Lausanne-based developer of AI software for engineering and product design, has raised $100 million in a Series C funding round led by Goldman Sachs Alternatives.
The financing ranks among the larger European rounds this year in industrial AI and reflects growing investor confidence in the application of machine learning to core engineering processes.
Founded in 2018 as a spin-out from the Swiss Federal Institute of Technology in LausanneDealroom has a profile for this one. Try Dealroom →, Neural Concept applies deep learning to simulation-driven design, allowing engineers to evaluate and optimise complex components far earlier in the development cycle.
The approach is designed to complement traditional computer-aided engineering tools, reducing reliance on time-consuming physical prototypes and iterative testing.
The company’s software is used across industries such as automotive, aerospace and energy, where design decisions carry high costs and long lead times. Neural Concept works with a range of global manufacturers and has established partnerships with technology and industrial groups including Nvidia, SiemensDealroom has a profile for this one. Try Dealroom → and Microsoft, which have helped integrate its tools into existing engineering environments.
Previous funding, including a $27 million Series B, supported international expansion and early commercial adoption. Since then, the company has focused on scaling enterprise deployments and deepening its platform’s capabilities, as demand grows for AI systems that can be trusted in production-critical settings.
Goldman Sachs Alternatives’ investment points to rising interest in AI tools that move beyond experimentation into daily industrial workflows. Neural Concept has framed its strategy around “AI-native engineering,” positioning its technology as infrastructure for design teams rather than a standalone analytics layer.
Sources:
Neural Concept
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J.V.