AI that does
something useful.
A chatbot that hallucinates your policy.
GPT wrapper. No evals. No cost ceiling.
The demo wowed the board. Nobody uses it.
Integrated from day one. We embed AI into products and workflows where it creates real value.
How it ships.
Find the wedge
Where does AI actually save time, close a deal, or delight a user? We cut everything else.
Build with evals
Prompt library, RAG over your data, evals before anything ships. No vibes-driven deploys.
Ship and monitor
Cost dashboards, latency tracking, guardrails. You see what it costs and whether it's working.
What we do.
- AI features embedded in your product
- LLM integrations — OpenAI, Anthropic, local models
- Automation workflows with tool-use
- Data workflows and RAG over your content
- Prompt library and evals framework
- Agent tooling and orchestration
- Cost and latency dashboards
- Guardrails, PII filtering, and audit logs
Common questions.
What does it cost?
Typically €13.2k–€38.5k for an AI feature embedded in your product. Retainer covers ongoing evals and tuning.
Which models?
Whatever fits — Anthropic Claude, OpenAI, open-source when privacy or cost demands. We benchmark on your data.
What about hallucinations?
Evals, guardrails, RAG with citations. We don't ship without a measurement framework.
What about cost?
Every AI feature ships with a cost dashboard. You see €/request and can set hard caps.
Can you fine-tune a model?
If the data and the use case justify it. Usually prompt engineering + RAG gets you 90% there.