Foundation EGI’s platform is said to transform natural language inputs, including vague and messy instructions, into codified programming that is accurate and structured.
LOS ALTOS, Calif.—When Foundation EGI launched out of stealth mode in April, the company announced the availability of what it called “the first domain-specific, agentic AI platform—engineering general intelligence (EGI).”
According to the company, EGI is designed to supercharge automation, accuracy, and efficiency for every stage of product lifecycle management. Foundation’s EGI platform is reportedly already in testing at leading Fortune 500 industrial brands.
“With EGI, design and manufacturing engineers will be able to build better products faster, driving healthier revenues for the world’s leading industrial brands,” Foundation EGI stated in a company release.
Co-founded by MIT academics Mok Oh, Ph.D., Professor Wojciech Matusik, and Michael Foshey, Foundation EGI has assembled a seasoned team with deep engineering, industrial, startup, and AI experience. The company is backed by an over-subscribed $7.6 million seed round from early investors that include E14 Fund, Union Lab Ventures, Stata Venture Partners, Samsung Next, GRIDS Capital, and Henry Ford III.
Processes and instructions in manufacturing and engineering, unlike those in other digitally-transformed industries, remain manual and disorganized. According to Foundation EGI, this causes inefficiencies, production delays, and stagnant revenues.
By using Foundation EGI’s purpose-built large language model (LLM) and EGI agentic AI platform, engineers can now transform natural language inputs, including vague and messy instructions, into codified programming that is accurate and structured. This optimizes automation, accuracy, and efficiency at every stage of the design to production lifecycle, the company said.
Foundation EGI’s web-based technology platform is said to seamlessly integrate with the major design and manufacturing software applications and tech stacks already used by engineering teams.
“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 Foundation EGI Co-founder and CEO Mok Oh, in a statement. “Our first-of-its-kind technology is purpose-built for engineering and will supercharge every stage of product lifecycle management—starting with documentation. EGI transforms what is traditionally error-prone, manual, and inconsistent into structured, sustained, and accurate information and processes, so that engineering teams can not only achieve significant cost-savings but also be more nimble, productive, and creative.”
Dennis Hodges, CIO at Inteva Products, a global automotive supplier of engineered components and systems, said the company has high expectations from Foundation’s EGI platform.
“It’s clear it will help us eliminate unnecessary costs and automate disorganized processes, bringing observability, auditability, transparency, and business continuity to our engineering operations,” he said in the release.
Foundation EGI’s mission was inspired by research conducted by Professors Matusik and Foshey, and others at MIT and other academic institutions, published in a March 2024 paper titled “Large Language Models for Design and Manufacturing.”
“Engineering general intelligence transforms natural language prompts into engineering-specific language using real-world atoms, spatial awareness, and physics,” said Matuski, professor of Electrical Engineering and Computer Science at the Computer Science and Artificial Intelligence Laboratory at MIT, in a statement. “It will unleash the creative might of a new generation of engineers. Expect leaps and bounds in agility, innovation and problem-solving.”