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AI Lessons Learned:
Your collective design history applied to every decision
AutoReview automatically surfaces lessons learned from past reviews during your current review. So, your engineers apply them when and where it matters most: Now.
Surface past feedback in current reviews
When your past decisions aren’t documented, the team ends up making the same mistakes and duplicating work. With CoLab, you upload a model or drawing and AutoReview automatically surfaces lessons learned from previous reviews. Your team can quickly apply past decisions to new designs without starting every review from scratch.
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Understand the “why” behind every AI suggestion
With AutoReview, you don’t get blind suggestions. Every AI Lessons Learned includes the full context: who made the decision, what the issue was, where it came up on the previous assembly and how it was resolved. Because when engineers understand the rationale behind AI, they’re able to act faster without second-guessing or redoing work.
Expert feedback captured once and applied forever
With CoLab, senior engineers leave feedback once, so it’s stored forever. Then, AutoReview recalls that feedback when similar parts show up again. So, your team sees why the design is the way it is and applies the same thinking to new iterations.
The quickest way to learn from similar designs
AutoReview analyzes your design’s geometry, metadata, and manufacturing details to surface similar parts from previous reviews. So, your engineers can review and apply past feedback that’s relevant to your current program.
Stop solving the same problems twice
AutoReview stores expert feedback and resurfaces it automatically when similar geometry appears, so engineers don’t waste time solving the same problems over and over again.