STEP 01
Scope & taxonomy
We interrogate your label schema, edge cases and acceptance thresholds before a single frame is touched, then write it down as a spec both sides sign.
- Deliverable
- Annotation spec + edge-case atlas
- Typical
- 2–4 days
Process
A pilot in two weeks. Production without surprises.
Engagements move through four gates. Nothing scales until the previous gate is signed off against your acceptance criteria.
STEP 02
Calibrated pilot
A sample batch benchmarked against your golden set, returned with a written accuracy report, per-class IoU and a unit price you can budget against.
- Deliverable
- Labelled pilot + accuracy report
- Typical
- 48 hours
STEP 03
Scaled delivery
Dedicated annotator pods, a named QA lead, throughput and drift dashboards, and a predictable batch cadence agreed to your training schedule.
- Deliverable
- Versioned batches + dashboards
- Typical
- Weekly cadence
STEP 04
Continuous loop
Model failures feed back into mining and relabelling, so each release trains on harder, cleaner data instead of more of the same.
- Deliverable
- Hard-case sets + relabel passes
- Typical
- Per model release
Inside the annotation floor
In-house annotators, supervised pods, locked workstations. Every asset carries a chain-of-custody log from ingest to delivery.
