Retrieval-augmented generation over your own data
Grounded RAG over your documents, with citations and a retrieval layer you can trust.
AI systems / senior-led delivery
AI systems designed for production.
Retrieval pipelines, support deflection and internal copilots — costed per token before a line is written, so the unit economics work at volume.
2015Building production software since
8+ yrsLongest active partnership
£2M+Processed by one platform
5.0Across 18 verified Clutch reviews
Tools & platforms
Technologies we work with.
Selected to fit your product, existing systems and delivery requirements.
Python
Claude- LLM APIs
PostgreSQL
Supabase
Redis
Docker- REST APIs
What we deliver
AI that works reliably at volume.
An AI feature that dazzles in a demo can quietly lose money on every request once real users arrive. We design retrieval, prompts and model routing for accuracy and cost together — and we put a number on the unit economics before you commit engineering to it.
Support deflection and AI help desks
An assistant that resolves the repetitive tickets and hands the rest to a human cleanly.
Internal copilots and assistants
Assistants wired to your systems that save your team the search-and-copy busywork.
Document and workflow automation
A costed estimate per request, and model routing to keep it there at volume.
Semantic search and recommendations
A measurable quality bar, so “it feels better” becomes a number you can defend.
Evaluation and guardrail pipelines
Cost, latency, drift and quality are tracked continuously in production.
In production
Real work in this practice.
Delivered systems with the client context and measurable outcomes attached.
01
Social eventsAn events app with the tools to run it.
Mobile app, backend, advertising tools, a digital marketplace and website.
4+ yrsone team, five codebases
02Professional EnergyEnergy brokerage
One platform for tenders, contracts and accounts.
Supplier tenders, contract management, brokerage accounting and client records.
100+suppliers in one tender
03OntickEvent technology
A commission-free ticketing platform built for ownership and scale.
Multi-organiser commerce, Stripe instalments and two native apps in one connected platform.
£2M+processed since launch
A clear delivery process
From first decision to production.
The same senior team stays close to scope, architecture, build, launch and what comes next.
- 01
Model the economics
Token cost, latency and accuracy targets estimated per request before we build, so the feature is viable by design.
- 02
Retrieval and grounding
Your data chunked, embedded and retrieved so answers are grounded and traceable, not confidently wrong.
- 03
Evaluate and guard
An eval set, guardrails and fallbacks, so quality is measured rather than hoped for.
- 04
Ship and watch
Deployed with cost, latency and quality monitoring, and a routing layer to tune spend as you scale.
What we deliver.
We agree the scope with you before development starts.
Retrieval pipelines
Grounded RAG over your documents, with citations and a retrieval layer you can trust.
Support deflection
An assistant that resolves the repetitive tickets and hands the rest to a human cleanly.
Internal copilots
Assistants wired to your systems that save your team the search-and-copy busywork.
Token economics up front
A costed estimate per request, and model routing to keep it there at volume.
Evals and guardrails
A measurable quality bar, so “it feels better” becomes a number you can defend.
Production monitoring
Cost, latency, drift and quality are tracked continuously in production.
Specific capabilities
Bring us the exact problem.
These AI systems services can be commissioned individually or as one connected programme.
Clutch★★★★★5.0 / 5.0Across 18 independently published client reviews
“They have a deeper technical knowledge than any web designer I've met to date.”
Common questions
Planning the work.
01Which models do you use?+
Whatever fits the job and the budget — we route between frontier and smaller models rather than paying frontier prices for every request, defaulting to the latest Claude models where accuracy matters most.
02How do you stop it making things up?+
Retrieval grounding, citations, guardrails and an eval set that catches regressions before your users do.
03Can you put a real number on the running cost?+
Yes. Estimating cost per request up front is the first thing we do — before any build commitment.
04Do you work with our existing data and tools?+
Yes — we build retrieval over your documents and wire copilots into the systems your team already uses.
05How long to ship an AI feature?+
A grounded pilot in 3 to 6 weeks; a production, monitored system typically 8 to 12.
Start a project
Ship ai that still makes sense at scale.
AI features are easy to prototype and easy to lose money on. Let's design one that is accurate, grounded and costed before it ships to everyone.