AI App Development / End-to-End
AI app development, end to end, built by the team that scoped it.
From discovery to production deployment, we design and build custom AI applications for UK businesses. LLM apps, agents, RAG systems and integrations - shipped in weeks, not quarters.
Senior engineers and consultants only. NDA on request.
What we build
Concrete AI applications, not vague capabilities.
“AI solutions tailored to your needs” is what every consultancy says. Here's what we actually ship.
LLM-powered applications
Custom interfaces over GPT, Claude, Gemini or open-weight models. Internal copilots, document analysis, chat-with-your-data, content generation - the production-grade version, not the demo.RAG systems
Retrieval-augmented generation over your documents, data and knowledge bases. Vector search, hybrid retrieval, evaluation harnesses, and the unsexy plumbing that makes the answers actually correct.AI agents and automations
Multi-step agents that take actions: browsing, calling APIs, writing to systems, and escalating to a human when they should. Built with the bounded autonomy your compliance team will accept.AI integrations into existing software
Adding AI features to your current product or internal tools without re-platforming. We work alongside your engineers, not around them.Bespoke AI products and MVPs
Greenfield AI products from idea to live application - typically six to twelve weeks to first usable release, with evaluations and observability baked in from the start.
How we build
Five phases, two-week sprints, evals before launch.
A grown-up build process for LLM applications. Specifically designed for the failure modes that don't exist in normal software.
Free scoping call
Thirty minutes. We assess feasibility, model choice, rough budget and rough timeline. If we don't think we're the right team for it, we'll tell you.Discovery sprint
A fixed-fee one-to-two-week deep-dive: technical spike, working prototype, costed delivery plan. You leave with something you can build with - or take elsewhere.Build sprints
Two-week iterations with working software demoed at the end of each. The same senior team from scoping continues into delivery - no hand-offs, no re-onboarding.Evaluation & hardening
We don't ship LLM apps without evaluations, observability, and red-teaming for the obvious failure modes. Hallucination, prompt injection, drift - tested before launch, not after.Deploy & handover
We deploy to your infrastructure (or ours, if you'd rather) and hand over fully documented code, runbooks and eval suites. You own the work.
Stack & approach
Specific tools, picked per problem.
We don't have a “modern AI stack” - we have a shortlist for each layer and we choose deliberately. Here's what we reach for.
- Models
- OpenAIAnthropic ClaudeGoogle GeminiLlamaMistralGemma
- Frameworks & tooling
- TypeScriptPythonNext.jsFastAPILangChainLlamaIndexDSPy
- Vector & search
- Postgres + pgvectorPineconeWeaviate
- Hosting
- AWSAzureGCPSelf-hosted
- Evaluation & observability
- LangSmithLangfuseCustom eval harnesses
What good looks like
Real builds, anonymised.
Coming soon
We're currently agreeing publication permissions with clients for the first wave of detailed case studies. In the meantime, take a look at the internal AI tools we've built and run ourselves - they're a working portfolio of the same engineering approach we bring to client work.
Questions
Things people ask before booking a scoping call.
- Usually within one to two weeks. The scoping call is free and can typically happen the same week you enquire. From there, a discovery sprint can normally start within ten working days.