Retrieval grounding
Your content chunked, embedded and retrieved so the model answers from your data — not from whatever it half-remembers from training.
AI systems / specialist delivery
AI chatbot & RAG development.
We build AI chatbots and RAG pipelines grounded in your own data — with citations, evals and guardrails, and the cost per conversation costed up front.
2015Building production software since
8+ yrsLongest active partnership
100%Source and production visibility
5.0Across 18 verified Clutch reviews
Scope
What this service covers.
A chatbot is only as good as what it is allowed to say. Point a model at a chat box with no grounding and it will answer confidently whether or not it knows — which is fine in a demo and a liability in production. The hard part is retrieval: getting the right passage of your own content in front of the model, every time, and proving where the answer came from.
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.
Evals, not vibes
A test set of real questions and expected answers, run on every change, so quality is a number you can defend rather than a feeling.
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.
In production
Work from the same practice.
Related delivery with the client context and measurable outcomes attached.
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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
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.
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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.
01How do you stop the chatbot from hallucinating?+
Retrieval grounding keeps answers tied to your own content, citations make every answer checkable, and guardrails make the bot say it does not know and escalate rather than invent an answer when retrieval comes back empty.
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.
Start a project
Bring us the exact problem.
Book a 30-minute call with the senior team that will scope and lead the work.