Tools that make our model better, every day.
Unvault Labs is the internal workshop for our jewelry AI — inspect pieces, search the forge, annotate the hardest cases, and watch the model get sharper. Every correction you make is shipped back into the next training run.
THE GRAND TILT
Eleven Houses · Seventeen Rings · One Champion

See what designers it compares to.
Browse comparable pieces from the forge and spot the brand premium at a glance.
54,381 comps in the forge right now.
Seven workshops. One sharper model.
LoupeUpload a jewelry photo to inspect hallmark, metal, weight, and category predictions from the vision model.
Drop a photo. Get weight, metal, purity, category, and confidence — then correct what we got wrong.
SearchDescribe a piece in plain English and find visually similar items across the forge database.
Type a designer, a style, a feeling. Find visually similar pieces across the entire forge.
GymReview the model's worst misses, vote on corrections, and send feedback into the next training run.
The training floor. Work the queue, correct the model, watch your impact compound over time.
ModelSee which model version is live, check accuracy, and track the next deployment.
What version is live, how accurate is it, what's the next training run. The pulse of the system.
AppraiseGet a structured, streaming appraisal for one item — weight, metal, category, brand, and confidence.
Drop a photo (or jump in from any Search result). Get a structured appraisal — weight, metal, category, brand, confidence — streamed in token by token.
EvalRun a small batch of test items, then view MAE and per-field error tables to validate a new build.
Drop a CSV of test items, run the lot, get MAE, accuracy by field, and a per-row diff table. The workhorse for validating a new build.
Face-offPit two prompts against each other on the same input and build a win-rate leaderboard.
Two prompts, same input, blinded. Pick a winner, build up a win-rate tally. The fastest way to iterate on system prompts.
What's moving today
No recent model runs recorded yet.
Activity will appear here as new training runs and deployments land in unvault.model_runs.