freestart.ai is the engineering arm of Freestart Plc. The AI we run our own business on — scoring calls, building pipeline, coaching the floor — is the AI we make available to yours. Built in production, not in a deck.
The AI arm of Freestart Plc — building websites and software for British businesses since 1999. Every number below is something we run in production today — the part a consultancy selling decks structurally can't show you.
One system, three parts — the stack we run on our own sales floor before we sell it to yours. Each piece feeds the next.
Every sales call transcribed and scored against your playbook, automatically — so coaching is based on what actually happened.
Turns the patterns CallHub finds into targeted coaching — drills the exact moments each rep keeps losing, not generic modules.
Researches, qualifies and queues the next set of prospects — so a better-trained floor never runs out of the right calls to make.
Each stage feeds the next — and the data from every call trains the models behind the one after it. The more we run it, the sharper it gets.
A different problem, a different buyer. The same operator-built discipline — pointed at the UK planning system. PlanningConsult and PlanningAssist run retrieval over the real local-plan corpus, not a generic model guessing at policy.
Retrieval-augmented checking across the local-plan policy corpus, with a coverage gate that flags when the evidence isn't strong enough to answer — rather than guessing.
The statement tier resolves the site's LPA, pulls the governing local-plan and NPPF policy, and drafts a planning statement in the standard structure. Every point is cited to the policy it rests on, each citation verified against source, and the draft is adversarially reviewed before it reaches you — a submission-ready first draft, not a blank page.
A source-grounded chat assistant for the questions homeowners, developers and architects ask first — grounded in real policy and preverified rule cards.
The assistant matches each question to a preverified rule card, then scopes retrieval to the policy that actually governs it. The answer is anchored to a source already checked against the legislation — the real limits, not an invented number — and where the corpus can't answer, the SufficiencyGate says so instead of guessing.
Not as an agency — as operators who built this for ourselves first. We take on a small number of partners at a time, where the problem looks like one we've already solved in production.
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