Conversational AI grounded in your own documents
An LLM assistant retrieving from your content, with citations back to the source so an answer can be checked.
2 wks
To a working POC
15
AI capabilities we build
9
Years in business
What you get
What every LLM chatbot includes
A language-model chatbot is only as good as the knowledge behind it. We ground it in your content and measure the answers.
Talk through the use caseRetrieval over your documents, tickets and knowledge base
Citations on every answer
Regression checks before each release
Our process
Four steps from knowledge to grounded chatbot
The sources come before the model.
- 01
Gather the knowledge
Help articles, policies and product data, cleaned and organised.
- 02
Ground the model
Retrieval so answers come from your content, with the source shown.
- 03
Build the experience
Chat interface, memory of the conversation and handover to a person.
- 04
Evaluate & launch
A test set of real questions, scored before release and after every change.
Tech stack
What we build it with
Four layers, each chosen per project. Open one to see what sits in it and why.
Models & frameworks
The layer that generates. Chosen per task against quality, latency and cost.
Retrieval & data
Where grounded answers come from: your documents, indexed and tuned.
Serving & ops
How it runs in production, and how you see what it is doing.
Evaluation
How we know the output is good enough before a user sees it.
More AI capabilities
Fourteen more ways we apply AI
AI Software Development
End-to-end AI product builds.
AI Chatbot Development
Smart, conversational AI for business.
AI Agents Development
Linked agents for smarter tasks.
AI Voice Agents
Voice intake and call handling.
Generative AI Solutions
AI that creates and innovates.
LLMs for SMEs & Enterprises
AI built to scale with you.
RAG Model Development
Smarter AI with search + generation.
GPT Integration
AI seamlessly in your workflow.
Prompt Engineering
Better prompts, better results.
Machine Learning Development
AI that learns from your data.
NLP Development
Classification, extraction, sentiment.
AI Workflow Automation
Process automation that holds up.
AI MVPs & POCs
Proof before you commit to a build.
AI Consulting
Where AI pays off, and where it doesn't.
Frequently asked questions
The questions we get asked about AI
Data handling, output quality, cost and ownership.
Start with the knowledge you already have
Two weeks, your documents, a grounded chatbot and a scored set of answers.