Neural Concept is a Swiss artificial intelligence software company founded in 2018 and headquartered in Lausanne. Originating from research at EPFL, it develops an AI-powered engineering platform for designing, simulating and optimizing physical products. Its technology combines three-dimensional deep learning, physics-aware models, generative AI and engineering automation to help engineers evaluate design alternatives and predict product performance. Products include an AI Design Copilot, engineering intelligence tools and an MCP Bridge connecting AI agents with CAD and simulation software. Neural Concept serves automotive, aerospace, energy, semiconductor, electronics and industrial manufacturers. Customers include General Motors, Leonardo, JLR and MAHLE. Its platform helps engineering organizations reduce repetitive simulation work, explore more design options, improve product performance and shorten development cycles while integrating with existing engineering systems.
Neural Concept offers opportunities to work where artificial intelligence meets real-world engineering, including automotive, aerospace, energy and semiconductor design. Originating from EPFL research, the company develops physics-aware machine learning, generative design and AI agents integrated with engineering software. It raised $100 million in Series C funding in December 2025 and reported more than 50 enterprise customers, including General Motors, Leonardo and other major manufacturers. Its engineering work involves Python, PyTorch, Kubernetes, cloud infrastructure, numerical simulation and high-performance computing. The company has expanded internationally, including teams in Bengaluru and Pune, and advertises positions across AI engineering, product development, deployment and technical sales. Its careers page lists hybrid opportunities in several locations and a structured hiring process. Compensation and working arrangements depend on the position.
Pierre Baqué founded Neural Concept in 2018 and serves as CEO. He studied applied mathematics at École Polytechnique in Paris and earned a PhD in deep learning at EPFL. His earlier research included computer vision, three-dimensional deep learning and optimization. He also developed algorithmic trading tools at Credit Suisse. His research on applying machine learning to physical geometry provided the foundation for Neural Concept's engineering AI technology.
Théophile Allard is a co-founder and CTO of Neural Concept. He earned a master's degree from Mines ParisTech, specializing in mathematics and computer science. Previously, he worked at Deepki and was involved with Inventia Life Science. He joined the founding team after meeting Pierre Baqué at EPFL. He leads engineering and technology development, including machine learning architecture, scientific computing and enterprise AI platform capabilities.
Jonathan Donier is a co-founder and Chief Scientific Officer of Neural Concept. He has a background in scientific research, artificial intelligence and computational methods. He helps guide the company's scientific direction, including research into machine learning, three-dimensional geometry and physics-aware models for engineering applications.
Thomas von Tschammer is a co-founder and General Manager of Neural Concept's US business. He studied at EPFL and has a background in engineering, computer vision and technical commercialization. He helped establish the company's international operations and leads its US expansion, customer relationships and commercial activities, particularly among automotive, aerospace and industrial engineering organizations.
François Fleuret was identified as an early founding member of Neural Concept in company and investor announcements. A machine learning researcher associated with EPFL and the Idiap Research Institute, he contributed scientific expertise in deep learning and computer vision. His academic research was part of the technical environment from which Neural Concept originated.
Pascal Fua was identified as an early founding member of Neural Concept. He is a professor at EPFL and has led research in computer vision and machine learning. His work includes three-dimensional scene understanding and image-based reconstruction. Neural Concept emerged from the EPFL research environment in which Fua and the founding team developed technology for AI-assisted engineering.
Philippe Cuendet serves as Chief Operating Officer of Neural Concept. He is responsible for operational management and organizational execution as the company expands internationally. His role supports coordination across engineering, commercial and corporate functions.
Pietro Cervellera joined Neural Concept as Chief Revenue Officer in July 2026. He has more than 20 years of experience in engineering software and simulation, including senior positions at Altair and Siemens Digital Industries Software. He leads global revenue strategy, enterprise sales, strategic accounts and go-to-market execution across industries and regions.
Alex Read joined Neural Concept in July 2026 as Senior Vice President of Vertical Solutions. He has approximately 25 years of experience in engineering simulation, product strategy and commercial leadership, including senior roles at Siemens Digital Industries Software and CD-adapco. He develops industry-specific solutions for engineering customers across key industrial markets.
Brett Chouinard became Chairman of Neural Concept's Board of Directors in July 2026. He previously spent nearly 30 years at Altair, holding positions including President, Chief Operating Officer, Chief Technology Officer and Chief Product and Strategy Officer. He provides strategic guidance on engineering software, enterprise growth and international expansion.
Neural Concept
Neural Concept announced that its collaboration with Leonardo had expanded from helicopter engineering into aeronautics and digital solutions. The work includes AI-assisted design optimization, high-fidelity simulation workflows and NVIDIA Omniverse visualization. Engineering teams use the platform to evaluate more design alternatives at lower computational cost.
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Neural Concept introduced MCP Bridge, enabling AI agents to operate commercial CAD, meshing and simulation software inside enterprise environments. Supported engineering applications include CATIA, Siemens NX and Abaqus. The product connects AI agents with existing engineering workflows to automate approved design and simulation tasks.
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Neural Concept announced dedicated commercial teams in Bengaluru and Pune to support Indian automotive and manufacturing customers. The company appointed Sudhir Padaki as Regional Sales Director for India and expanded local support for engineering AI adoption, training and deployment.
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Neural Concept appointed Brett Chouinard as Chairman of the Board, Pietro Cervellera as Chief Revenue Officer and Alex Read as Senior Vice President of Vertical Solutions. The appointments strengthen leadership in engineering software, global sales and industry-specific product development.
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Neural Concept announced its first dedicated Asia-Pacific office in Seoul, South Korea, to support automotive, shipbuilding, electronics and semiconductor manufacturers. The company also appointed former IBM Korea CEO Eunjoo Lee as a board adviser.
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Neural Concept introduced an AI Design Copilot at CES 2026. The product uses spatial reasoning, physics-aware AI and generative models to create CAD-ready geometries from engineering design requirements. It supports exploration and optimization of design alternatives within existing engineering workflows.
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Neural Concept announced a $100 million 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 participated. The company plans to use the capital for AI product development and international commercial expansion.
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