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01 Gateway 21FCA-authorised AI RegTech
Zero-to-one product and operations build-out
The client was a bootstrapped firm serving crypto exchanges, with no product and no operating model. We decided what the product should do and built it: an AI-driven compliance engine that does the regulatory analysis junior analysts used to do. It runs an 80-step prompt-chained workflow and is 95% accurate against analysts’ answers. We also built an AI tool that checks whether an image counts as a financial promotion under the FCA’s rules, and RAG chatbots that answer questions about those rules. We hired the product and engineering team, and set up finance, FCA reporting, marketing, people operations and supplier management. Revenue grew from zero to more than £3m in two and a half years, at a pre-tax profit margin of 56%.
02 STARHealth priority setting
LSE’s health priority-setting tool, rebuilt from scratch
STAR (Socio-Technical Allocation of Resources) is a method developed by Professor Gwyn Bevan and colleagues at the London School of Economics for deciding how to spend a health budget. Commissioners, clinicians and patients look at one chart of every treatment the budget pays for, ranked by the health each pound buys, and agree where the money should go. In Mid-Nottinghamshire it showed that nearly half of a £4.5m back pain budget went on care with no measured benefit. The local group’s plan could buy 7,661 healthy years instead of 4,571 for the same money. We rebuilt STAR’s 2016 web tool from scratch and moved every live project across. Working with the people who use it, we made it easier to use and added carbon emissions beside cost and health benefit. You can read more at star.gwynbevan.com and gwynbevan.com/star.
03 Rob Rea BreathworkB2B2C wellness
A breathwork brand’s first product, shipped on iOS and Android
We built a working prototype to gather feedback from potential users, then set up and directed an engineering team to turn it into a native app on iOS and Android. It has more than 100 video and audio sessions, plus playlists and live calls, and enterprise sign-in through Microsoft and Google.
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04 Maple Drive / Palo Alto StaffingAI recruitment platform · family offices
Product and engineering leadership for agentic search
The founders had spent two years building with an offshore team and no product function, and the scope kept growing. We fixed the data-structure faults causing drift between the graph and NoSQL databases, cut the roadmap down to what the launch needed and rebuilt much of the product, including its AI search, and shipped it with the same team. We added evals that measure how good the search results are, so the team can see when a change makes them better or worse.