physics-based-ai
(5)
Axiomatic AI
Axiomatic AI is a Cambridge, Massachusetts deep-tech company building AI that engineers can actually trust. It pairs frontier language models with formal mathematical and physics-based verification so that the reasoning behind a design decision can be checked, proven, and traced. Its first commercial focus is photonics and semiconductor engineering - fields where simulations are sophisticated but fragmented and a fabrication error is expensive. Founded in 2024 by a group of MIT and ICFO physicists and led by former White House quantum-policy lead Jake Taylor, the company raised an $18M seed in March 2026 to build what it calls the intelligence infrastructure for verified science and engineering.
Jake Taylor
Jake Taylor is a physicist turned founder and the CEO of Axiomatic AI, a Cambridge, Massachusetts startup building 'Axiomatic Intelligence' - AI that combines frontier models with formal mathematical and physics-based verification so engineers can design and prove out hardware like semiconductors and photonic chips. Before Axiomatic, Taylor spent 16 years at NIST as a Fellow and ran the first U.S. effort to coordinate quantum science, serving as the inaugural Assistant Director for Quantum Information Science at the White House Office of Science and Technology Policy, where he architected the National Quantum Initiative. He holds a PhD in physics from Harvard, has authored more than 200 publications, and his honors range from the Presidential Early Career Award to the Service to America Medal. In March 2026 he led Axiomatic to an $18M seed round.
Foundation EGI
Foundation EGI is an MIT CSAIL spinout building what it calls Engineering General Intelligence: a domain-specific, agentic AI platform purpose-built for industrial engineering and manufacturing. Instead of treating engineering as text, it encodes the rules of physics, geometry, materials, and manufacturing constraints into a domain-specific language, turning messy specs and CAD models into auditable, executable workflows for technical drawings, process planning, product catalogs, and multilingual documentation. The company raised an oversubscribed $23M Series A in July 2025, bringing total funding past $30M.
Sergiy Nesterenko
Sergiy Nesterenko is the founder and CEO of Quilter, a Los Angeles company building AI that designs printed circuit boards on its own. A former SpaceX avionics engineer who spent five years on Falcon 9 and Falcon Heavy electronics, he watched one of his first boards literally burn up in his hands and decided manual PCB layout was a problem worth a decade. Quilter trains its system on physics and constraints rather than copying human designers, and in 2025 it produced the world's first fully functional computer laid out by AI.
Peter Fedichev
Peter Fedichev is a theoretical physicist turned longevity entrepreneur who co-founded Gero, a biotech AI company applying physics-based generative AI models to crack the root causes of aging. A former top-2 cited Russian physicist under 35, he traded quantum gases for aging clocks, building a platform that predicted biological age from wearable data before it was fashionable, secured a Pfizer collaboration, and landed a potential $250M deal with Chugai Pharmaceutical (Roche Group) in 2025 - all while publishing over 75 scientific papers and winning a $10,000 prize for winning a public debate on defeating aging.