For teams assessing how to deploy AI across global product development organizations

Auto-generated annotations for 2D drawings

Auto-generated comments for 3D models

Capture and scale engineering knowledge

Just in time lessons learned

See how CoLab captures expert knowledge via virtual design reviews, then activates that expertise with AI agents.

We're helping the world's leading manufacturers accelerate product development with AI.

Need to make a design decision? Ask Operator.

What can I help with?

  • Compare the BOM on this revision to the last released build.
  • Summarize the open bench-test issues on the Ventilator V2 and propose mitigations.
  • Compare the current drawing to the CNC supplier matrix and recommend a best-fit supplier.
  • Need a gasket for IP66 sealing, −20°C to 20°C service temp. What type should I use?
  • What did Sarah say last review about the gasket interface?
  • Draft questions to ask our CNC partner about variability for Aero_Brace_64. Put them in a notebook with a Supplier Response column.
  • Pull every material callout in this drawing and check them against our approved materials list.
  • Generate a feedback action plan from this review.
  • Find the last time we shipped a part with this thread spec.
  • Create a pre-production gate review due on April 14th based on the attached requirements. Invite our manufacturing and electromechanical leads.
  • Summarize what changed in this revision and why.
  • Do these drawing changes affect the existing injection mold, tooling cost, or piece price?

Operator

  • Compare the BOM on this revision to the last released build.

Loading current and last-released BOMs.

Aligning 147 line items by part number across 14 subassemblies.

Classifying differences as swap, qty change, or new line.

Search your data, ask questions, and get tasks done

AI can make mistakes. Please double-check results.

Four capabilities. Unlimited use cases.

  • Analyze
  • Search
  • Generate
  • Automate

Your browser does not support the video tag.

Operator works across your engineering data and AI agents in CoLab

Design Engagement System

The human interface for engineering. Where teams review technical data, discuss tradeoffs, and make decisions.

Internal and External Users

Capture feedback and design rationale from your team, customers, and suppliers.

Knowledge Data

A living model for how you make decisions—with inputs from public sources, internal artifacts, and third party standards.

Product Data

The data you need to make design decisions - from CAD, PLM, and other systems.

AI Agents

Proprietary CoLab AI agents that access and reason about your data to complete tasks and make design suggestions.

Third Party & Custom Agents

Use the same interface to talk to external agents. Or build your own (no software experience required).

Implicit & Public Knowledge

  • External Proprietary Benchmarks
  • Internal Artifacts
  • CAD
  • PLM
  • Simulation / Testing

Use Operator to orchestrate agents across all your tools

Operator already works on your data in CoLab. Next, it will perform agentic actions across the other tools your team uses. Find design data. Run simulations. And sync the results back into CoLab.

Build custom agents for your workflows

  • Test-to-design Traceability Agent
  • Tolerance Stackup Agent
  • FEA Results Triage Agent
  • ECO Impact Agent
  • GD&T Completeness Agent
  • DFM Review Agent
  • Supplier RFQ Prep Agent
  • Material Substitution Agent
  • Weight and CG Tracking Agent

Ready to make faster decisions?