So what is CoLab?
AI for engineering collaboration?

CoLab automatically captures and organizes design comments alongside 3D geometry and the revision they refer to. Every piece of feedback becomes part of a searchable “master issue database” that consolidates insights across programs. This transforms scattered tribal knowledge—often trapped in decks or email threads—into structured, AI-ready data that can be reused in future reviews.

CoLab’s Similarity Engine converts CAD and drawings into AI-readable formats and compares them across your entire product history to find similar parts. It then identifies historical feedback patterns and design changes from those similar components. During a live review, AI surfaces the insights and recommendations most likely to help your team make a better decision right then and there.

Continuous use of CoLab creates both cultural and technical reinforcement loops. Engineers are more motivated to keep standards up to date because they see those standards actively improving daily work. On the technical side, CoLab’s ingestion engine centralizes all design rules and lessons learned—no data cleanup required—and the AI cites the original documentation whenever it generates feedback. Engineers can inspect the citation directly beside the design, and thumbs-up/down feedback helps refine accuracy over time. If outdated guidance exists, regular use of the system helps expose and correct it faster than traditional methods.

CoLab works with more than 30 native and neutral CAD file types, converting them into lightweight, web-viewable 3D models for fast, collaborative reviews—no “pack and go” needed. It integrates with leading PLMs such as Windchill, Teamcenter, 3DEXPERIENCE, and SOLIDWORKS PDM to sync metadata, detect revisions automatically, and ensure teams are always working on the right version. This eliminates risky exports and keeps permissions aligned with your enterprise systems.