Resolutiion raises £8M to catch commercial disputes before they blow up

Resolutiion, a London startup, has raised £8M for AI aimed at a problem most companies only notice once it is expensive: commercial disputes. Its OctaviaCore engine reads the stream of data a live contract generates — emails, invoices, project trackers, supplier messages — to spot delivery risk and emerging conflicts before anyone files a formal claim, and then coordinates the agents and steps to resolve them. The round was led by LocalGlobe and Cherry Ventures, with Octopus Ventures, Chevron Technology Ventures and the European Union also participating.

The founder’s background is the tell. Fayola-Maria Jack was a commercial lead for the Royal Air Force and the UK Cabinet Office, in charge of complex, multi-billion-pound contracts, and her insight is a practitioner’s one: by the time a dispute reaches the legal teams, a great deal of value has already quietly leaked away. Resolutiion’s bet is that the warning signs are already sitting in the data long before that, and that AI watching across a company’s systems can surface them early enough to act. It targets exactly the sectors where a missed commitment is most costly — defence, energy, infrastructure and manufacturing — and plugs into the CRM, contract and HR systems those firms already run.

It lands the same week as Magentic’s procurement agents, and the two rhyme: both are London companies putting AI agents onto the unglamorous connective tissue of how big organisations actually operate — the contracts, the suppliers, the money — rather than onto anything consumer-facing. It is the same territory as Prevalent AI’s enterprise data work, approached from the angle of risk and conflict.

The domains Resolutiion is chasing are high-stakes ones, and that cuts both ways. In defence and government procurement, being early to a dispute is genuinely valuable — but it is also exactly where trust, explainability and getting it right carry the most weight, because a wrong call about a supplier or a claim is not a low-stakes error. Jack’s ambition, in her own words, is to “build one of the defining AI infrastructure companies of this generation.” That is a long way off, but a founder who has lived the problem from the buyer’s side is a good place to start.