Bombardier and CoLab Lock In Multimillion-Dollar AI Partnership to Reshape Jet Engineering Workflows

Bombardier does not chase noise. It engineers signal. So when a Montreal-built aerospace heavyweight signs a multi-year, multimillion-dollar deal, it lands with weight across tech news cycles that actually matter. Bombardier Inc. moved with intent, formalizing a partnership with CoLab AI Inc., the St. John’s-based engineering software company founded in 2017 by Adam Keating and Jeremy Andrews. This is not a surface-level AI experiment. It is a calculated insertion of intelligence into the core of how business jets are designed, built, and refined under pressure.

CoLab operates where engineering decisions are made, not where they are summarized after the fact. Its platform, EngineeringOS, is designed to capture the fragmented, high-stakes conversations that define complex hardware development. Adam Keating, CEO and Co-Founder, has framed the advantage with precision: proprietary knowledge is the moat. Not data in bulk, but data in context. The kind that lives inside review cycles, supplier exchanges, and design iterations that rarely make it into clean documentation. CoLab’s system captures that knowledge in motion and redeploys it when decisions are made again, turning past friction into future speed.

Éric Filion, EVP, Programs and Supply Chain at Bombardier, positioned the move as an operational upgrade, not a branding exercise. Integrating advanced AI into engineering workflows, he noted, allows teams to make decisions in real time using vast internal datasets while reinforcing the company’s ability to deliver high-performance aircraft. On the floor, that translates to tighter feedback loops, fewer repeated mistakes, and a sharper connection between what has been learned and what gets built next.

The timing aligns with CoLab’s broader momentum. The company secured $72M in 2025, scaled beyond 150+ employees, and introduced AI-driven tools like AutoReview into engineering environments that do not tolerate inefficiency. A waitlist exceeding 47,000 engineers signals demand that stretches well beyond early adopters. Its footprint already includes enterprise manufacturers like Ford, GE Appliances, and Johnson Controls. Adding Bombardier brings aerospace into focus, a sector where complexity compounds and precision is non-negotiable, giving this move added gravity in tech news conversations tied to industrial AI adoption.

This is not about replacing engineers. It is about compounding their judgment. Taylor Young, Chief Strategy Officer, emphasized the ability to surface decades of engineering expertise in real time. MJ Smith, Chief Marketing Officer, framed the outcome as acceleration. Both point to the same shift: compressing the distance between experience and execution until knowledge is no longer buried, but actively deployed.

Aviation has always been a long game of accumulated lessons, each one paid for in time, cost, and consequence. CoLab is building a system that refuses to let those lessons sit idle. Bombardier is placing a calculated bet that activating that knowledge, faster and at scale, changes how aircraft programs evolve. In a market where speed and precision rarely coexist, this partnership is a signal cutting clean through the noise, and tech news will keep circling back to the same question as this unfolds: who else is ready to operationalize what they already know before someone else does it first.