One job you would hand to an agent — tickets, a sales chat, a weekly report — if you could trust its numbers. Connect your data, name the task; the platform stands the agent up and trains it on your past cases. Every figure links to its source.

The only account of what your vendors’ agents do is what their makers wrote. We record what each agent saw and said, from your side, and check every run against it. Nothing changes in the agent, its model or its runtime.

A verdict from the agent’s vendor — or from ours — is worth nothing. So the method goes to UK universities, coordinated by Edinburgh Napier. TRL 4 done, one bid submitted, topics open. We bring the instrument and the traces; you bring the science.

Companies deploy agents by the thousand and cannot check them. We sell the check: a re-runnable verdict on every run, priced per check, sold as a subscription. First contract above £1M; validated independently; patent priority 2025. Raising to build sales.

Government will buy agents and regulate them, and no accredited test exists. We are building it in Scotland with UK universities: independent, re-runnable, admissible. Looking for public-sector pilots and policy partners.

Agents are getting real jobs faster than anyone can check them. An Edinburgh lab records what an agent did, from the outside, and checks its claims with fixed rules — no second model. In production in a medical device; assessed by Edinburgh Napier. Founders on the record Tue–Wed.

An agent is a program that lets a language model do a job on its own. We make it possible to see what it actually did and check whether it was right — without asking another model. Start by trying to beat one.