Overview
AI is most valuable when it is attached to a specific workflow with a measurable outcome. We help you find those workflows and integrate language models, retrieval, and automation into your products and operations.
We favour reliable, observable systems: clear inputs and outputs, human review where it matters, and evaluation so you know whether a change made things better.
What we deliver
- 01
AI feature integration
Assistants, summarisation, classification, and search built into your existing product.
- 02
Workflow automation
Connect your tools and remove manual hand-offs between systems and teams.
- 03
Retrieval over your data
Grounded answers from your documents and databases, with access controls respected.
- 04
Evaluation & guardrails
Test sets, monitoring, and fallbacks so AI behaviour is measurable and safe to depend on.
How it unfolds
- Discover
Discover which workflows are repetitive, high-volume, and well defined.
- Design
Design the human-in-the-loop experience and success criteria.
- Develop
Develop with evaluations from day one, not as an afterthought.
- Deploy
Deploy with monitoring, cost controls, and iteration on real usage.
Typical technology
- LLM APIs
- TypeScript
- Python
- Supabase / PostgreSQL
Questions
Do we need our own data to get started?
Not always. Many useful features need only your existing documents or workflows. We assess this during discovery.
How do you handle sensitive data?
We design data flows deliberately — what leaves your systems, what is stored, and who can see it — and document those choices with you.
Have a project in mind?
Tell us what you're building. We'll tell you honestly how we'd approach it.