See every AI model you run, where it's used, and what's happening to it. One scan of your repo. One warning before things break.
| Health | Model | Project | Env | Where used | Retires |
|---|---|---|---|---|---|
| ▲ Retiring soon | AUDraco 3 | api-service | prod | workers/classify.py:88 | 2026-06-17in 23d |
| ✕ Retired | OREmbed 2 | rag-pipeline | prod | rag/legacy_index.py:12 | 2026-04-3025d ago |
| ◑ Deprecating | NVAtlas 3 | support-bot | prod | bot/agent/handler.ts:121 | 2026-11-01in 5mo |
| ● Healthy | AUOrion 2 | api-service | prod | services/answer.go:215 | — |
| ● Healthy | CBSynth-X | rag-pipeline | prod | rag/extract.py:71 | — |
One command. We scan your repo and find every model call across every service.
Each model's lifecycle stays current — released, deprecating, retiring, retired.
30, 7, or 1 day before a retirement. Email or in-app. You decide the lead time.
One scan finds every model call across your repo. Pick what to track, push it up.
Per year. For your whole team.