We build the machinery that turns difficult public web sources into training-ready datasets: large-scale sourcing funnels, automatic annotation stacks measured against golden sets, and provenance tooling that records where every byte came from.

We collect the data ourselves. That means we can answer questions about coverage, licensing and feasibility directly, and it means the QA numbers on this site describe our own pipelines, not a supplier's claims.

We're independent, with no conflicts of interest: not affiliated with any large AI lab or platform, which matters if your training-data strategy is itself confidential.