Practical AI features that solve real problems in your product.
We add AI where it earns its place: assistants, search and automation built on large language models, tested against your data and measured against clear goals.
What's included
Everything it takes, under one roof.
Pick the parts you need, or bring us in for all of it. Either way, one team stays accountable from plan to launch.
Talk about your projectAI assistants
Chat and copilot features grounded in your own content and data.
Smart search
Search that understands questions, not just keywords.
Document processing
Extract, classify and summarise information from documents and emails.
Workflow automation
Hand repetitive, text-heavy tasks to AI with a person in the loop.
Guardrails & evaluation
Testing and monitoring so outputs stay accurate and on-brand.
Data privacy
Designs that keep sensitive data protected and under your control.
Typical projects
Where teams usually bring us in.
- 01
Support assistant
Answer common questions instantly and hand off the rest.
- 02
Knowledge search
Find answers across internal documents in seconds.
- 03
Document triage
Sort, tag and route incoming documents and emails.
- 04
Drafting help
First drafts of reports and replies for people to review.
How we approach it
A clear path from first call to launch.
Short cycles, regular demos and no surprises. You always know what is being built and why.
- 1
Find the use case
Pick a problem where AI clearly beats the current process.
- 2
Prototype
A working proof of concept on your real data.
- 3
Evaluate
Measure accuracy, cost and speed against agreed targets.
- 4
Ship & monitor
Production release with guardrails and ongoing checks.
Tools we often use
- Claude API
- OpenAI API
- Python
- TypeScript
- pgvector
- LangChain
FAQ
Questions about AI integration
Still have a question?
Send it over. You will get a straight answer from the people who would build it.
Ask us directlyHave an AI idea worth testing?
Tell us what you are trying to achieve. We will reply with honest next steps, even if that means a smaller project than you expected.