AI & answer engines
Make your catalog readable by AI search. Ship AI features only once they pass tests. We start from a use case worth building, not from the technology.
When AI stays a demo
- 01
Pilots never ship
Prototypes impress in a meeting and never reach customers.
- 02
Nobody can say if it works
Without tests, answers are judged by feel.
- 03
Costs and risks come later
Model costs, privacy and brand risk are left for after launch.
How we build AI
One use case at a time, with the tests agreed before the build. Nothing ships until it passes.
- Step 1
Diagnose
We find the use case worth building and the data it needs.
- Initial audit
- From USD 7,999
- Step 2
Define the tests
We write down what a good answer is, and how we check it.
- Step 3
Build
The feature and the infrastructure behind it, tested at every step.
- Step 4
Release and watch
A few customers first, then everyone, with cost and quality tracked.
What we build
Small tools
Many small tools, each built for one job.
Local MCP servers
Servers that connect AI assistants to your own tools and data.
AI chat
Chat built on your catalog and content.
What you get
- Diagnosis
- The problem, what it costs and the plan, in writing.
- Tests
- The checks a feature must pass, agreed in advance.
- Feature
- The AI feature in your store, with its infrastructure.
- Monitoring
- Cost and answer quality tracked after launch.
- Handover
- Documentation and a recorded walkthrough.
- Owner
- The founder signs the plan and answers for the result.
Tell us what holds growth back.
One conversation is enough to know whether we can help. If we can, we start with an initial audit, from USD 7,999.