Join 47,000+ engineers ready to try AutoReview
Your team’s expertise, organized in a knowledge graph that builds itself
Every comment, review, and decision in CoLab automatically becomes structured knowledge your team can reuse. By capturing design feedback in one place and connecting data from PLM, Jira, and other systems, CoLab builds an engineering knowledge graph without adding extra work.
Ingest and classify engineering knowledge
CoLab’s ingestion engine can read and classify existing engineering knowledge – from old design reviews, lessons learned spreadsheets, or standards and guidelines. This allows AI agents like AutoReview to reference any of your documentation – without anyone manually reformatting, curating, or tagging it first.
Capture more feedback and turn it into usable knowledge
CoLab makes it easy for anyone to view and comment on designs, even non-CAD users. That means more subject matter experts, suppliers, and cross-functional teammates can contribute to design discussions. Every comment and decision is linked to the 2D or 3D design file, transforming feedback that used to live in slides and emails into structured knowledge.
Identify related designs automatically with machine learning
CoLab’s Similarity Engine understands when two parts, reviews, or issues are related. It can surface similar designs, highlight repeat issues, and flag opportunities for standardization or reuse. AutoReview uses this same engine to apply lessons learned proactively—before anyone even has to search.
Extend the knowledge graph with integrations and API
CoLab connects directly with your enterprise systems (PLM, Jira, Teams, and more). Most teams use our PLM integrations to share design files into CoLab, syncing file revision history and metadata. Connect other data via our API. That way, the knowledge graph always stays up to date—automatically combining structured product data with unstructured knowledge data.