Axiomatic AI, a company developing artificial intelligence infrastructure for science and engineering, announced it has raised $18 million in seed funding, bringing its total funding to $25 million. The round was led by Engine Ventures with participation from Kleiner Perkins, Big Sur Ventures, Global Vision Capital, Propagator Ventures, and Liquid 2.
Founded in 2024 and headquartered in Cambridge, Massachusetts, Axiomatic AI is building a platform designed to help technical organizations design, verify, and deploy complex hardware systems. The company’s technology combines frontier AI models with formal mathematical and physics-based verification to enable systems that can produce interpretable and provable reasoning in high-stakes engineering environments.
The platform, called Axiomatic Intelligence, is designed to address a major limitation in today’s AI systems. While generative models can suggest designs or solutions, they typically cannot prove that their outputs comply with the laws of physics, validate assumptions, or quantify uncertainty. Axiomatic AI aims to close this gap by integrating domain-specific knowledge, mathematical verification, and physics-based reasoning into its AI infrastructure.
According to the company, the platform enables automated orchestration of complex engineering workflows while verifying correctness and consistency across multiple layers, including fundamental physical principles, engineering design constraints, and logical reasoning. This approach is intended to make AI systems more reliable and suitable for scientific and engineering use cases where precision and verification are critical.
The company says its early access program already includes several enterprises across the Fortune 100 and Fortune 500, including semiconductor equipment manufacturers, foundries, fabless chip designers, photonics technology firms, and leading nonprofit research institutions. Axiomatic AI plans to use the new capital to expand enterprise deployments and deepen the integration of its verification platform into complex scientific and engineering workflows.
The demand for such tools is growing as engineering complexity increases across industries such as semiconductors, photonics, and advanced manufacturing. Industry forecasts indicate significant talent shortages in technical fields, including projections that the U.S. semiconductor sector alone may require around 160,000 additional engineering roles by 2032.
Axiomatic AI was founded by a group of researchers and engineers specializing in physics, photonics, and electrical engineering. Founding team members include Dirk Englund, professor of electrical engineering and computer science at MIT; Frank Koppens, group leader and professor at the Institute of Photonic Sciences; Joyce Poon, professor of electrical and computer engineering at the University of Toronto; and Marin Soljačić, professor of physics at MIT and MacArthur Fellow. The company is led by CEO Jake Taylor, who previously served as assistant director for quantum information science at the White House and senior advisor for critical and emerging technologies at the National Institute of Standards and Technology.
Axiomatic AI says its long term goal is to become the foundational workflow platform for engineering and science organizations operating in critical industries. By integrating verification, domain knowledge, and AI driven automation, the company aims to establish a new standard for AI systems used in scientific discovery and engineering design.
KEY QUOTES
“As demand for the hardware underpinning our economy accelerates, machine learning systems must move beyond assistance into accountable collaboration. AI that cannot justify its reasoning, to the level needed for engineering, cannot scale into high-stakes technical domains. Our focus must be on shifting the baseline of technical intelligence to verifiable outcomes that connect to physical reality.”
Jake Taylor, CEO Of Axiomatic AI
“Science and engineering are the backbone of modern civilization. The shift from prediction to provable reasoning will define the next era of AI adoption in critical industries.”
Israel Ruiz, President And General Partner At Engine Ventures
“Humanity’s greatest achievement– the scientific method– could become sidelined by black-box AI. When we started Axiomatic AI, the core mission was to build a different kind of system–one in which reasoning would be rooted in math, deductive reasoning, and interpretability, so that engineers and scientists are empowered rather than replaced by machines.”
Dirk Englund, Co Founder Of Axiomatic AI And Professor Of Electrical Engineering And Computer Science At MIT
