AI where it actually pays off.
We find the use case that moves a metric, then build and measure it.
Use-case scoping
We find where AI helps — and where it does not — before building anything.
Retrieval & RAG
Ground models in your own data so answers are accurate, current and citable.
Assisted workflows
Classification, drafting and routing that speed up real tasks for real people.
AI content pipelines
Automated generation and curation, with the guardrails to keep quality high.
Brief, scope, build, ship.
Brief
You share the use case and constraints. We come back within a working day with a rough shape and a price.
Scope & test
A sharp use case and a quick proof it works on your data.
Build
Retrieval, prompts and the product around the model.
Evaluate
Measured against real outputs, not vibes.
Ship & monitor
Deployed with cost and quality monitoring in place.
Proof, not promises.
A few cases where this made the difference.
Simple, scoped to your brief.
- ✓Use-case scoping
- ✓Retrieval / RAG on your data
- ✓Assisted workflows
- ✓AI content pipelines
- ✓Quality & cost monitoring
- ✓Integrated into your product
Good questions.
Is this just a chatbot?
Rarely. Most value is in retrieval, classification and quiet automation — we build whatever moves your metric.
Will it hallucinate?
We ground models in your data and add evals and guardrails, so outputs are accurate and measurable.
Which models do you use?
Whatever fits the job and budget — OpenAI, Claude or open models, chosen per use case.
Where could AI actually help you?
Tell us about the use case — we will come back with a sharp scope. Three steps. You can skip the brief at any point and just send a short message.