Lausanne, Switzerland – Neural Concept, a leading AI company specializing in physics-informed machine learning for engineering and industrial applications, has announced a $100 million Series C funding round led by Goldman Sachs. The investment marks a significant milestone in the company’s growth and underscores increasing confidence in AI-driven solutions for complex industrial challenges. Neural Concept’s technology leverages artificial intelligence to accelerate engineering simulations, enabling industries such as aerospace, automotive, energy, and manufacturing to reduce development time and costs. By combining deep learning with physical laws and real-world data, the company’s platform delivers high-fidelity simulations at speeds thousands of times faster than traditional methods. This allows engineers to explore more design options, optimize performance, and bring products to market faster. The new funding will be used to expand Neural Concept’s global footprint, enhance its AI platform with advanced features, and strengthen its team of researchers and engineers. The company plans to deepen partnerships with major industrial players and further integrate its technology into existing engineering workflows. Additionally, the capital will support research into next-generation AI models that can handle even more complex physical systems, including fluid dynamics, structural mechanics, and thermal behavior. Goldman Sachs’ leadership in the round reflects growing institutional interest in AI startups with clear paths to commercialization and measurable impact. The investment follows a series of strategic moves by Neural Concept, including the launch of its flagship product, Neural Concept Machine Learning (NCML), which has been adopted by leading companies across Europe and North America. The platform is already being used to optimize turbine designs, improve vehicle aerodynamics, and accelerate the development of advanced materials. Founded in 2016 and headquartered in Lausanne, Neural Concept has built a reputation for combining academic rigor with industrial relevance. The company was founded by a team of researchers from EPFL (École Polytechnique Fédérale de Lausanne), one of Europe’s top technical universities, and has maintained strong ties to the scientific community. Its approach—embedding physical laws directly into neural networks—sets it apart from general-purpose AI models and makes it particularly suited for high-stakes engineering applications where accuracy and reliability are critical. The Series C funding brings Neural Concept’s total capital raised to over $150 million, positioning it as one of the most well-funded AI companies in Europe focused on industrial applications. The round also includes participation from existing investors, including early-stage backers and strategic partners in the engineering and technology sectors. This latest investment comes amid a broader surge in AI adoption across industries, particularly in sectors where simulation and modeling are central to innovation. As companies seek to reduce time-to-market, lower costs, and meet sustainability goals, AI-powered engineering tools are becoming essential. Neural Concept’s technology directly addresses these needs by enabling rapid, accurate, and scalable simulations. The company’s success highlights a growing trend: AI is no longer just about consumer applications or data analysis—it is becoming a core component of industrial innovation. With Goldman Sachs’ backing and a proven track record in delivering real-world impact, Neural Concept is well-positioned to lead the next wave of AI transformation in engineering and manufacturing. As the company scales globally, it continues to emphasize responsible AI development, ensuring its models are transparent, interpretable, and aligned with real-world physics. This focus on trust and accuracy is key to gaining the confidence of engineering teams and decision-makers in high-risk industries. In a world where speed, efficiency, and sustainability are paramount, Neural Concept’s AI platform is helping companies design better products, test more ideas, and innovate faster—without compromising on safety or performance. The $100 million funding round is not just a financial boost, but a vote of confidence in the future of AI-driven engineering.