Frontier models have read the internet. The next order of magnitude will not come from more of it.

It will come from data that was never public — the operational record of how the world actually runs, held by the institutions that run it. We acquire that record under licence, and we build the infrastructure that turns it into something a model can train on.

Acquisition is half the problem. The rest is extraction, normalisation, de-identification and audit, run on our own pipelines and delivered to a schema your training stack already reads. We ship model-ready corpora, not archives.

We also build what does not exist yet. Expert-authored post-training tasks, evaluation sets and benchmarks, written by practitioners at the top of their field and reviewed by their peers. Where a capability has to be measured before it can be improved, we make the instrument.

We publish no catalogue and we name no clients. Enquiries tend to open with does anyone actually have — and tend to end with us saying yes.