Platform
A symbol library that learns your office.
Every confirmed detection becomes ground-truth that trains your org's recognizer. Reject a wrong claim, the model corrects. Confirm a right one, your library grows. Across projects.
9
Trades supported
Per-org
Learning loop
Compounding
Library growth
What this delivers
Outcomes, not just features.
- Org-private symbols separated from cross-org library
- Confirm or reject every detection from the review queue
- Training-sample counter per symbol drives confidence prior
- Roboflow integration for orgs that already maintain models
- Library promotion path for vetted cross-org symbols
Symbol Library features
The mechanics behind the headline.
Active learning loop
Confirm a detection → it becomes ground-truth → the next training round improves the recognizer.
Org-private library
Your symbols stay in your org. Cross-org library is opt-in and read-only.
Roboflow connector
If you already maintain a Roboflow workspace, sync ground-truths in and trained models out.
Related pillars
Threads through the rest of the platform.
Frequently asked
Questions about Symbol Library.
- Do my symbols leave my org?
- No. Org-private symbols stay org-scoped. Library promotion to cross-org is opt-in and human-vetted.
Next move
See Symbol Library on your real bid.
Pilots run end-to-end on real plan sets. Bring one we should review.