Retrieval grounding
Your content chunked, embedded and retrieved so the model answers from your data — not from whatever it half-remembers from training.
Help customers find answers in your knowledge base.
AI chatbots that retrieve information from your data, cite their sources and are tested against defined quality criteria.
2015Building production software since
300Projects delivered
100%Source and production visibility
5.0Across 18 verified Clutch reviews
Useful answers, with sources and safeguards
We build AI assistants that help customers and staff find answers in your own documents and systems. Retrieval, source references and human escalation are planned around the questions people actually need answered, with quality tested before release.
Citations and traceability
Answers link back to the source passage, so users can verify and your team can see exactly why the bot said what it said.
Quality testing
A test set of real questions and expected answers checks retrieval and response quality as the system changes.
Guardrails and fallbacks
When retrieval finds nothing relevant, the bot says so and escalates — instead of inventing an answer to fill the silence.
Costed per conversation
Token cost per conversation estimated before build, with model routing so a busy support week does not produce a surprise invoice.
Escalation and handoff
Clean handoff to a human for anything the bot should not resolve, wired into the support or messaging tools your team already uses.
See the work in practice
Related projects, with the decisions, delivery and results explained.
01
Social eventsFour years across the app and operations
Mobile app, backend, advertising tools, a digital marketplace and website.
4+ yrssupport across five codebases
02
Energy brokerageTenders, contracts and accounts brought together
Supplier tenders, contract management, brokerage accounting and client records.
100+suppliers per tender
03
Event technologyTicketing owned by the event team
Multi-organiser commerce, Stripe instalments and two native apps in one connected platform.
£2M+ticket sales processed
A clear plan, regular progress
You work with the same senior team from the first scoping conversation through to launch and support.
- 01
Scope & cost
We agree the outcome, users, integrations, budget and main technical risks before the work starts.
- 02
Architecture
We plan the data, interfaces and failure modes around the way the system needs to operate.
- 03
Build & review
You receive source access, a working environment and regular demonstrations throughout delivery.
- 04
Launch & support
We launch, document and monitor the work, then hand it over or continue as your engineering team.
Related services
Explore other AI systems services.
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.”
Frequently asked questions
01How do you reduce chatbot hallucinations?+
We retrieve from approved sources, include citations, test representative questions and add escalation when evidence is missing. We also monitor errors after launch. These measures reduce the risk of incorrect answers without eliminating it.
02What is RAG and why does it matter here?+
Retrieval-augmented generation fetches the relevant passages from your data and gives them to the model as it answers. It is what turns a generic chatbot into one that reliably answers from your documentation, policies or knowledge base.
03Can you tell us what it will cost to run at volume?+
Yes. We estimate token cost per conversation up front and route between models so cost stays predictable as traffic grows, rather than scaling into a bill nobody forecast.
Tell us what you’re working on
Bring your idea, your existing system or the problem you need to solve. A 30-minute call with our senior team will help clarify the next step.