Today, CoLab AI Inc. announced a multi‑year, multimillion‑dollar agreement with Bombardier Inc. to deploy artificial intelligence solutions that will support the design and manufacturing processes of its business jets.
Through its collaboration with CoLab, Bombardier will harness AI to drive innovation throughout product development cycles, enabling faster timelines and adding advanced AI‑driven capabilities to current procedures.
CoLab’s unique approach to engineering AI focuses on surfacing internal company knowledge to help engineers make decisions. One example is lessons learned: in advanced manufacturing, engineers often conduct end-of-program retrospectives to review what they learned and how they can improve future program outcomes.
With CoLab, Bombardier will capture lessons learned automatically, then use AI and machine learning to resurface those lessons exactly when they matter on future programs.
Eric Filion, Executive Vice President of Programs and Supply Chain at Bombardier, said: “Integrating advanced artificial intelligence into our design and engineering processes will further strengthen our ability to deliver world‑class business jets for our customers and will enable our teams to make engineering decisions based on vast amounts of data in real time.
“This collaboration reflects our ongoing commitment to innovation, operational excellence, and the continual advancement of Canadian aerospace capabilities.”
As the AI race accelerates, market leaders like Bombardier are placing strategic bets to stay ahead of fast-moving market trends:
Adam Keating, CEO and Co-founder of CoLab, says: “Eventually, everyone is going to be using AI. So the question executive teams have for us is: how do we adopt AI in a way that our competitors can’t replicate?
“For engineering teams, the answer often lies in their knowledge data: your most experienced engineers have a deep understanding of customer needs and technical tradeoffs. If you’re looking for a platform that can truly be your AI Engineering Operating System, it has to be able to codify and scale that.”