AI solutions
Practical AI inside real products — not a slide.
Assistants, classification, retrieval and automation wired into the software you already run, with humans still responsible.
Most organisations do not need a proprietary model. They need a trustworthy way to search their own documents, draft the first version of a reply, or route a request to the right desk.
We build those pieces on current APIs, with retrieval against your data, logging, and a clear refusal to automate decisions that should stay human.
Benefits
What this changes in the business.
01
Hours returned to people
Drafting, filing and first-line answers move faster. Judgement stays with the team.
02
Your data, fenced
We do not casually pour private records into a public model. Retention and access are part of the design.
03
A feature, not a sideshow
The AI lives in the product UI. Nobody has to open a second toy to get the value.
Process
How the work moves.
01
Find a narrow job
One workflow with a measurable pain. ‘Add AI’ is not a brief.
02
Prove it on real samples
We test against your documents and edge cases before any public switch is flipped.
03
Wrap it in software
Auth, audit, fallbacks when the model is wrong or down.
04
Teach the room
The team learns what to trust, what to check, and how to report failures.
Technology
Tools we actually ship with.
- OpenAI APIs
- Supabase
- Embeddings / retrieval
- Next.js
- Logging
Questions
Straight answers.
That is not the work we take. We build assistance for people who remain accountable. If a brief is only about headcount reduction, we are the wrong studio.
Places
Where this work sits.
Industries
Sectors that often need this.
Journal
Notes on the same craft.
Start a project
Bring one repetitive job that already has examples. That is how a useful AI project starts.
Tell us what you are building. We will reply with a clear next step — usually on WhatsApp.