The funding will accelerate Flexcompute's work on the Physics World Model: AI that predicts how any design will behave in the real world by learning the laws of physics themselves, from a chip package warping under heat to a spacecraft reentering the atmosphere. Details of the investment were not disclosed.

Flexcompute is a frontier AI lab building a Physics World Model that bridges data-driven AI and the laws of physics. Founded by researchers from Stanford and MIT, its team of more than 70 PhDs develops GPU-native solvers for fluid dynamics, electromagnetics, structures, and heat. Through Tokenized Physics, Flexcompute builds both neural networks and first-principles physics directly into its Physics World Model. This creates a verification layer that grounds AI predictions in trusted physics and helps engineers and AI agents evaluate how designs will perform before they are built. Engineering teams at more than 250 companies across aerospace, automotive, semiconductors, photonics, and advanced manufacturing use Flexcompute to evaluate, explore, and optimize designs, allowing them to innovate with confidence.