Customer support assistants
Website chatbots that answer from your FAQs, policies and product information.
Generative AI integration
AI integration and custom chatbots that save your team time
We add practical Generative AI to websites, apps and internal tools: assistants that answer from your own documents, smarter search, and workflows that remove repetitive work.
Why it matters
Most businesses do not need "an AI strategy". They need one or two well-chosen jobs done faster: answering the same customer questions, finding information buried in documents, or turning messy inputs into structured data. That is where large language models are genuinely useful.
We start by identifying a task where AI clearly saves time, build a working version against your real data, and measure it before rolling it out. We use retrieval-augmented generation (RAG) so answers come from your approved sources rather than the model's memory, and we design for privacy from the start.
What we build
What we can build for you
Document Q&A and search
Ask questions across manuals, contracts or reports and get cited answers.
AI agent workflows
Automate multi-step tasks such as triage, drafting and data extraction.
Add AI to existing apps
Integrate AI features into your current product without a rebuild.
Knowledge pipelines
Prepare, chunk and index your content in vector databases such as pgvector or Pinecone.
Privacy and guardrails
Access control, source citations and testing to keep answers accurate and on-topic.
Technologies we use
- OpenAI API
- Anthropic Claude
- LangChain
- Python
- PostgreSQL
- Supabase
- Node.js
- Docker
FAQ
Common questions
Can you add AI to our existing website or app?
Yes. We integrate chatbots, document Q&A, semantic search and AI workflows into existing codebases, usually without rebuilding what you already have.
Will the AI make things up?
Any language model can produce wrong answers, so we reduce the risk: answers are grounded in your documents with RAG, sources are cited, and we test against real questions before launch. Read RAG vs fine-tuning for how we choose an approach.
What happens to our data?
We choose providers and settings to match your privacy requirements, limit what data is sent, and agree data handling in writing before we start. UK GDPR obligations stay with your business, so we help you document them.
How quickly can we try it?
We prefer to start with a small, focused proof of concept on your real data so you can judge the value before committing to a full build.
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Learn moreTell us what you want to build
Free, no-obligation consultation. We reply within 12 hours with a clear, practical first step.