The company, which raised $9.1 million in a Series A round in 2022, is now working towards a Series B round. Its software is helping historic F1 teams like Williams Racing improve their performance. The software can run a full CFD simulation in as little as 20 seconds, compared to the typical hour, giving teams a competitive edge. Neural Concept is also expanding into non-motorsport areas of the automotive industry, working on more efficient electric motors, optimizing cabin heating and cooling, and even crash testing.
Key takeaways:
- Neural Concept, an AI-based startup, has developed a machine-learning-based system called Neural Concept Shape (NCS) that makes aerodynamic suggestions and recommendations for various industries, including Formula 1 racing, automotive, and aerospace.
- Four out of 10 Formula 1 teams use an evolution of Neural Concept's technology, with Williams Racing identified as one of the clients.
- NCS can significantly reduce the time and cost of computational fluid dynamics (CFD) simulations, making it a valuable tool in industries where aerodynamics is crucial.
- Neural Concept is also working on applications beyond aerodynamics, such as developing more efficient electric motors, optimizing cabin heating and cooling, and crash testing.