Foundation EGI, a new player in industrial automation, has launched out of stealth with a $7.6 million seed round to support its specialized AI platform for design and manufacturing engineers. The startup introduces what it calls the first domain-specific “engineering general intelligence” (EGI) system, aiming to streamline the product lifecycle from early concept to production.
The round was backed by a mix of institutional and strategic investors, including E14 Fund, Union Lab Ventures, Stata Venture Partners, Samsung Next, GRIDS Capital, and Henry Ford III. The platform is already in use at several Fortune 500 industrial companies and has generated early validation in pilot environments.
Despite broader digital adoption, engineering and manufacturing processes still rely heavily on manual documentation and fragmented instructions. This inefficiency contributes to a staggering $8 trillion in wasted potential across the sector. Foundation EGI aims to tackle this by transforming scattered inputs into structured, usable engineering data through a domain-specific large language model (LLM) and its EGI agent-based platform.
"Engineering is primed for an AI revolution, but generic LLMs won't cut it: they lack vital domain-specificity and are prone to inaccuracies," said Mok Oh, co-founder and CEO of Foundation EGI.
The platform’s core function is to take vague, inconsistent, and disorganized instructions and translate them into structured programming that can be integrated directly into design and manufacturing software. The system works via a web interface and is built to sync with existing tools used by engineering teams.
With the seed funding, Foundation EGI plans to accelerate product development and bring the platform to more enterprises. The company also aims to deepen integrations with popular industrial software tools and expand its AI capabilities beyond documentation.
Founded by Mok Oh, Ph.D, Professor Wojciech Matusik, and Michael Foshey, the company draws on decades of academic and industry experience. The idea for Foundation EGI stems from research published in March 2024 titled "Large Language Models for Design and Manufacturing", led by Matusik and Foshey at MIT.
Matusik, who also spoke at TEDx MIT about the platform's potential, emphasized its practical application: “Engineering general intelligence transforms natural language prompts into engineering-specific language using real-world atoms, spatial awareness and physics.”
The company has already built a team of experts spanning AI, engineering, and enterprise software.
Alongside its founding team, Foundation EGI benefits from investors with deep roots in academia and industrial tech. The round included support from E14 Fund, which is affiliated with the MIT Media Lab, along with Samsung Next, and Henry Ford III, who brings multi-generational manufacturing expertise.
"The timing and market conditions are perfect for a company like Foundation EGI to solve what has long been a large and expensive challenge," said Habib Haddad, founding managing partner of E14 Fund.
