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How it works

From a domain need to auditable delivery

A simple, vendor-neutral path that produces both the expert data and the proof of how it was made.

How it works

From a domain need to auditable delivery

A vendor-neutral workflow that produces both the data and the proof of how it was made.

01

Specify the need

Define the domain, task type and quality bar for your training or evaluation work.

02

Matched expert team

A credential-verified team is assembled for your domain, vetted, not crowd-sourced.

03

QA + provenance trail

Work runs in a sandboxed workspace with live agreement checks and a signed audit trail.

04

Auditable delivery

Receive the data plus a reproducible provenance bundle ready for AI-Act review.

What makes it different

Scoped, not open-ended

Engagements start as a defined pilot on a single domain and quality bar, so you can evaluate the data and the provenance before scaling.

Matched, not crowd-sourced

Teams are assembled from credential-verified experts in your domain, with the integrity checks that keep undisclosed-AI work out of the dataset.

Provable, not asserted

You receive the data plus a reproducible lineage bundle, the same artifact your compliance team can take into an AI-Act review.

Prove how your training data was made

Run a scoped pilot on one high-stakes domain, and receive both the expert data and a reproducible provenance bundle ready for review.

Vendor-neutral · your data stays your IP