Data specification
Format, metadata, contributor profile and acceptance criteria, written down and agreed with your team.
Every One6 engagement follows the same path: agree what good data looks like, prove it on a small pilot, then scale with ongoing quality checks. You review real output before committing to volume.
Format, metadata, contributor profile and acceptance criteria, written down and agreed with your team.
The checks used to measure quality are agreed upfront, so the pilot is judged against a clear standard.
We work inside the platform your team already uses or propose tooling during scoping. The choice is confirmed before the pilot.
Data ownership and usage rights are defined in the project agreement before collection begins. Projects can run under NDA.
A short call to understand your model, data requirements, quality bar and timeline. We reply to every inquiry with questions, a proposed approach and a pilot plan.
We turn your requirements into a written specification. For custom collection, we design the protocol with you before the first contributor starts.
A small first batch so you can review real output, and the quality results, before committing to volume.
Once the pilot meets the agreed bar, we staff up and deliver in regular batches with ongoing QA.
Every program starts with a written specification covering format, metadata, contributor profile and acceptance criteria. We run a small pilot, review the output with you, and only scale once the pilot meets the agreed bar.
Either. We can work inside the platform your team already uses or propose tooling during scoping. The choice is confirmed before the pilot.
Data ownership and usage rights are defined in the project agreement before collection begins. Projects can run under NDA.
Tell us what your model needs. We'll come back with questions, a proposed approach and a pilot plan.