In a powerful signal of AI’s accelerating impact on engineering, CoLab today announced a $72 million Series C funding round to expand its AI-powered EngineeringOS platform. The round was led by Intrepid Growth Partners, with continued support from Insight Partners, Y Combinator, Pelorus VC, Killick Capital, and Spider Capital — each returning for their third consecutive investment.
The raise follows the breakout success of AutoReview, CoLab’s first AI agent, which launched in June and has since attracted 47,000+ engineers to its waitlist. With enterprise demand surging, the company projects it will nearly triple revenue in 2025, underscoring its emergence as the frontrunner in AI for engineering.
“Behind every feat of engineering, there’s thousands of design decisions,” said Adam Keating, Co-Founder and CEO of CoLab. “We envision a world where skilled engineers collaborate with AI agents that can access their company’s collective knowledge — collapsing design cycles from months to hours.”
Reimagining Engineering Collaboration
CoLab powers engineering for some of the world’s most advanced hardware companies, including Ford, Lockheed Martin, GE Appliances, Johnson Controls, and Schneider Electric. Its EngineeringOS platform transforms how design teams collaborate, review technical data, and make critical decisions, creating a digital workspace where engineers and AI work together in real time.
While AI has accelerated tools like generative CAD and simulation software, CoLab focuses on what those systems can’t replace: human judgment and decision-making. Its platform captures not just design data but also the rationale behind every engineering decision — a capability that’s redefining how companies retain and scale expertise.
“The company is building the decision-making layer that connects people, data, and AI,” said Mark Shulgan, Co-founder and Partner at Intrepid Growth Partners, who is joining CoLab’s board. “Teams can apply their expertise faster and more effectively than ever before.”
Capturing the ‘Why’ Behind Every Design
For eight years, CoLab has digitized the engineering review process — enabling teams to record millions of expert annotations on 2D and 3D design files. This accumulated knowledge forms the foundation for CoLab’s AI models, allowing its agents to understand not just what changed in a design, but why.
“Every design decision leaves behind context — discussions, tradeoffs, and rationale,” said Jeremy Andrews, Co-Founder and CTO. “Capturing that knowledge is a user experience problem. Engineers will only share what they know if the process feels natural and valuable — and that’s the breakthrough CoLab has made.”
This context-aware approach is becoming mission-critical as the manufacturing workforce ages. According to the U.S. Bureau of Labor Statistics, the share of advanced manufacturing employees over 55 has more than doubled in the past 30 years, raising the risk of a massive loss of institutional design knowledge.
“We risk losing decades of expertise if we don’t capture it now,” said Josh Fredberg, Managing Director at Insight Partners and former executive at PTC and Ansys. “CoLab has figured out how to do that — and with AI, the value of that knowledge compounds.”
AI Agents for Engineering Judgment
CoLab’s first AI agent, AutoReview, acts as an AI peer checker that annotates models and drawings to flag potential design issues and suggest improvements. Engineers testing the feature describe it as “like having a mentor looking over my shoulder.” Early adopters include TPI Composites and RYOBI (a TTI company), both reporting significant improvements in design quality and speed.
The demand for AutoReview has exceeded expectations, reflecting an industry-wide shift in how engineers interact with AI. Rather than automating design work, CoLab’s agents are built to augment human expertise, providing insights and feedback that accelerate decision-making without replacing human intuition.
AI as a Strategic Imperative
CoLab’s momentum isn’t just coming from engineering departments — it’s being driven from the C-suite down. Keating notes that executive teams, including CEOs and CFOs, are now directly engaging with CoLab to develop AI strategies across their organizations.
“AI isn’t an experiment anymore — it’s a competitive advantage,” said Keating. “We have executive teams making seven-figure bets with CoLab to bring AI into their core design and decision workflows.”
The Road Ahead
With the new funding, CoLab plans to develop additional AI agents, expand integrations with other engineering and AI systems, build out strategic partnerships, and scale go-to-market operations. The company is preparing several major product and partnership announcements before the end of the year.
As the AI-for-engineering space matures, CoLab’s focus on human-AI collaboration — not automation — positions it uniquely. Its platform is becoming the connective tissue between data, expertise, and design intelligence, helping engineers make better decisions, faster.
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