Two Categories.
One Network.

Twenty-four delivery services across four areas: model evaluation, AI safety testing, training-data production, and agent and RL engineering. Each is scoped, staffed and QA-ed by us and delivered into your tooling.

Start with the symptom you actually have. If you cannot tell whether your model is good, start with evaluation. If it is good but unsafe, start with red teaming. If it is safe but wrong, start with grounding and hallucination audits.

Yes, and most programmes end up combining two or three — evaluation almost always runs alongside whatever else is happening, because it is how you tell if the rest worked.

Both. A single batch is one scoped delivery. A managed programme is a standing pipeline against your roadmap with weekly quality reporting and a named engineer.

The same way everywhere: a rubric agreed at kickoff, sampling on every batch, a second reviewer on ambiguous cases, and inter-rater agreement reported with each delivery.

Yours. Label Studio, CVAT, V7, Argilla, Prodigy or internal tooling — you control access and the output lands in your systems rather than ours.

First delivery is typically within a week of the spec being agreed. We deliberately send a small first batch so you can check the output before volume ramps.

Per delivered unit against an agreed quality bar, or a fixed monthly fee for a standing programme. The total is quoted before work begins and you are not billed for batches that fail QA.

Yes — financial services and healthcare are two of the deepest areas. What changes is the review layer and the documentation, not the delivery process.

Describe it and we will tell you whether we can deliver it. If it is close to something we already run we will pilot it on a small batch before you commit volume.