Axiomatic AI

About Axiomatic AI

Axiomatic AI, founded in 2024, is a Cambridge, Massachusetts-based company developing an artificial intelligence infrastructure for scientific and engineering applications. The company's mission is to accelerate engineering workflows through rigorous verification across domains such as photonics, electronics, thermal, mechanics, and signal analysis. Axiomatic AI was founded by a team of academics with expertise in physics, photonics, and electrical engineering: Dirk Englund, a Professor at MIT; Frank Koppens, a Professor at the Institute of Photonic Sciences (ICFO); Joyce Poon, a Professor at the University of Toronto; and Marin Soljačić, a Professor of Physics at MIT and a MacArthur Fellow. The company is led by CEO Jake Taylor, who previously served as the Assistant Director for Quantum Information Science at the White House.

The company's core technology is a proprietary platform called Axiomatic Intelligence™, which integrates AI models with formal mathematical and physics-based verification. This platform is designed to produce interpretable and provable reasoning, addressing a key limitation of conventional AI systems that can generate plausible but unverifiable outputs. By ensuring that outputs comply with the laws of physics and quantifying uncertainty, Axiomatic Intelligence™ automates and orchestrates complex engineering workflows while verifying correctness at multiple levels. The company's products include a suite of AI operators such as Ax Equation Explorer, Ax Document Parser, Ax Model Fitter, and Ax Photonics Preview. These tools are intended to function as a trusted collaborator for scientists and engineers, enabling smaller teams to tackle complex technical problems.

Axiomatic AI operates in high-stakes technical domains like semiconductors, photonics, and advanced manufacturing, serving clients that include Fortune 100 and 500 companies, such as semiconductor equipment manufacturers and fabless chip designers. The business model is focused on enterprise deployments of its verification platform. In March 2026, the company announced it had raised $18 million in a seed funding round led by Engine Ventures, bringing its total funding to $25 million. Other investors include Kleiner Perkins, Big Sur Ventures, Global Vision Capital, Propagator Ventures, and Liquid 2. The capital is intended to expand enterprise deployments and deepen the platform's integration into complex engineering and scientific workflows.