CoLab has released generative artifacts, an AI capability that drafts and refines engineering documents such as Design Failure Mode and Effects Analyses (DFMEAs) and root cause analyses from a product program's design history. The company positioned the release, announced September 30, as the first concrete piece of a broader push it calls generative engineering, and set a first-half-2027 date for a generative CAD product to follow.
The framing is a deliberate contrast with the industry's focus on generative CAD alone. "If all you do is speed up CAD operations, you're not really solving for program speed," said Adam Keating, co-founder and CEO of CoLab, arguing that beyond geometry there are dozens of other documents an engineering team has to mature and approve before a design ships. Generative artifacts targets those: it generates and updates a DFMEA or root cause analysis while keeping the program context and the revision history behind each design.
For a quality or design engineer, the appeal is the paperwork. A DFMEA has to track every design revision, and regenerating it from program history targets that upkeep directly. Teams can also upload their own internal standards and guidelines for the system to use, and CoLab licenses third-party standards as well, having signed an ISO standards licensing agreement earlier in 2026 that lets its AI peer checker flag compliance issues with citation-backed annotations.
The generative CAD product planned for 2027 will cover two jobs. It will generate new design concepts from a manufacturer's historical program data, with integrations to CAD and topology-optimization tools including nTop, and it will offer an AutoFix capability that proposes a design change in response to a specific annotation or requirement. CoLab says each proposed change will carry the engineering rationale behind it. "There should be a human in the loop, and design changes should be paired with rationale as part of an auditable design history," said Jeremy Andrews, CTO and co-founder.
The timing is pointed. CoLab's announcement follows recent Model Context Protocol offerings from PTC and Autodesk that let AI agents operate inside Onshape and Fusion. CoLab reads that as evidence AI for CAD is accelerating, but argues the advantage will go to whoever can pair agentic CAD with the engineering knowledge, reviews, and validation data needed to mature a design, the review data its platform already captures from hundreds of engineering organizations.
