AI consultancy in London, since 2011.

Most organisations that call us do not need a model. They need a decision about whether a model is the right answer, made by someone who does not earn more if the answer is yes. That is the core of the work: separating the problems where machine learning compounds a real advantage from the ones where a cleaner data pipeline, a better rule, or a bought product would do the job for a tenth of the money.

The second thing a consultancy is for is arriving after something has gone wrong. A pilot that scored beautifully and failed in production, a vendor model nobody can explain to an auditor, a forecast the planners quietly stopped using. These reviews are unglamorous and frequently the highest-value week a client buys from us.

Engagements start with a 30-minute call, at no cost, to establish whether the problem is tractable and whether we are the right people for it. If both hold, the first paid engagement is a two-to-four-week data readiness and feasibility assessment, delivered as a written report with a measured baseline, a realistic accuracy ceiling and a costed set of options — including the option not to proceed.

Delivery, if it follows, is quoted against those findings. We build into the estate you already run rather than asking for a migration, and every system ships with the pipelines, evaluation harness, monitoring and runbook your own team needs to own it. There is no proprietary runtime to keep renting from us afterwards.

Financial services in the City and Canary Wharf: streaming fraud detection, KYC document understanding and explainable credit models that survive internal model-risk review. Healthcare and life sciences across the NHS estate and private providers: imaging triage, clinical documentation copilots and knowledge graphs built on HL7/FHIR with a clinical safety case attached.

Retail and FMCG head offices: hierarchical demand forecasting reconciled across SKU, store and week, connected into S&OP rather than into a dashboard nobody opens. Manufacturing and logistics across the South East and the Midlands: line-speed visual inspection, acoustic anomaly detection and predictive maintenance. Public sector and research bodies: transparent, audit-trailed decision support that survives procurement and freedom-of-information scrutiny.