Foundation EGI just locked in a $23 million Series A, and if you think this is just another MIT spinout chasing hype, sit down, breathe through your nose, and listen closely. This is the moment AI stops hallucinating and starts engineering.
Born out of MIT CSAIL, Foundation EGI isn’t riding the LLM train. They built the tracks. This crew, Dr. Mok Oh (CEO), Prof. Wojciech Matusik (Chief Science Officer), and Michael Foshey (Head of Research), aren’t trying to replace engineers. They’re giving them something better than caffeine and legacy software: a domain-specific AI platform that doesn’t just parse your messy inputs, it turns them into physics-valid, machine-executable workflows. CAD, PLM, MES, BOM, G-code, you name it, this thing eats complexity for breakfast and spits out structured intelligence. Not PowerPoint slides. Actual code.
And let’s talk about the backers. Translink Capital, led by Toshi Otani, didn’t just write the check, they took a seat at the table. RRE Ventures, McRock Capital, Escape Investment Management (with Jim Scapa bringing the simulation gospel), and Fifth Growth Fund all jumped in. E14 Fund, UNION Venture Capital, GRIDS Capital, and Henry Ford III doubled down after the $7.6 million Seed in April. Not a tourist VC in sight, this round is all signal, no noise.
Foundation EGI is out to fix the $8 trillion problem no one wants to touch: the bloated inefficiencies in design-to-manufacturing workflows. You can’t duct-tape your way through decades of manual handoffs and spaghetti processes. You need something that understands geometry, physics, spatial context, and still has the judgment to say, “yeah, that tolerance stackup is going to ruin your month.” Early pilots with global players like Inteva Products are already clocking documentation gains 1,000× faster. That’s not an upgrade. That’s a new operating system for engineering itself.
What makes this platform dangerous, in the best way, is what’s under the hood. A proprietary LLM trained on real engineering data. A DSL that enforces guardrails like a mechanical savant with OCD. And a Workflow Automation Manager that orchestrates multi-step tasks like it’s conducting the Boston Symphony in ANSI Y14.5. This isn’t OpenAI-for-manufacturing. It’s Foundation EGI, and it was engineered to solve problems the generic models don’t even recognize.
With offices in Los Altos and Cambridge, Foundation EGI is scaling up its engineering, research, and product teams, locking in integrations with leading CAD and PLM suites, and eyeing expansion across North America and East Asia. This isn’t a moonshot. It’s a measured, methodical assault on legacy.
Congratulations to Dr. Mok Oh, Prof. Wojciech Matusik, and Michael Foshey, you’ve engineered something we’ve all been waiting for.
