A selection of representative project shapes across our core services. Client names are withheld under NDA where necessary; full references available on request during proposal stage.
Client: UK challenger lender (Series B).
Problem: Manual underwriting review took 3–5 days per application.
Build: RAG assistant over loan policy documents, applicant history,
and open banking data — surfacing red flags and drafting reviewer notes.
Outcome: Review time cut from days to under 90 minutes. Approval rate variance across underwriters halved. Delivered in 9 weeks.
Client: ISO consultancy launching a productised service.
Problem: Needed a proprietary SaaS to replace the spreadsheets and
SharePoint sites their consultants were using with clients.
Build: Next.js multi-tenant platform, SSO, evidence collection, audit
trail, policy library, client portal, admin console.
Outcome: Live to first paying customer in 11 weeks. £180k initial quote from previous agency; RedFin AI delivered under £70k.
Client: UK mental-health service provider.
Problem: Fragmented patient journey across email, PDF forms and phone
appointments — poor engagement, high drop-off.
Build: React Native app with appointment booking, secure messaging,
outcome measures (PHQ-9, GAD-7), signposted content library.
Outcome: 74% activation on first invite. Weekly active use 3× the previous portal. NHS DTAC evidence pack included.
Client: Mid-sized UK law firm.
Problem: Trainees spending 60% of their time on first-pass contract
review — expensive and demoralising.
Build: Custom LLM pipeline with firm-specific playbooks, clause
library, redlining suggestions, and a human-in-the-loop interface.
Outcome: First-pass review time down 68%. Trainee time freed up for higher-value work. Rolled out to 40 fee-earners in 6 weeks.
Client: Pre-seed founder in home-services vertical.
Problem: Needed to prove the model to raise a seed round — with a
tiny budget and a 10-week runway.
Build: Full marketplace MVP: onboarding, listings, search, booking,
Stripe Connect payments, reviews, ops console.
Outcome: First bookings in week 7. Seed round of £1.4m closed four months post-launch on the traction produced.
Client: National last-mile delivery operator.
Problem: ETAs given to customers were off by 45+ minutes on average,
driving support cost and complaints.
Build: Custom prediction model on historical telemetry, traffic and
weather feeds — integrated into their existing driver app and customer notifications.
Outcome: Median ETA error under 8 minutes. Support tickets on "where is my order?" down 61%.
They ran circles around agencies twice their price and three times their headcount. I don't hire another way now.— Head of Product, Series-B fintech
The prototype in week two saved us six months. We killed one direction and doubled down on another — with real evidence, not opinion.— CEO, healthtech startup
They treat AI as engineering, not magic. Evals, monitoring, cost dashboards — the stuff nobody else offered.— CTO, legal-tech company
Honest about what we didn't need to build. Cheapest quote we got because they scoped out the fluff.— Operations Director, logistics group
References available at proposal stage. Every project we take on becomes a case study — one we can share, or one that stays under NDA. Your call.
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