Artificial intelligence
Put AI into daily work: a real use case, data, security, inference cost. Hosting where you decide.
An AI project is not a model. It is a product that has to run, stay in budget, and respect the rules that apply to you (GDPR when it does).
We work with CIOs and mid-market firms who already tried a copilot… and never put it in production.
When the tool has to sit in people’s day, we often place an FDE: an engineer on the floor, not a zip file sent by email.
What we take on
- A narrow, measurable use case (support, finance, ops, internal knowledge)
- A data pipeline and RAG wired into your tools, not beside them
- Technical choices: model, hosting, inference cost
- Security: access, traces, data leaks, prompts
- Delivery through to run
Who it is for
Business leads and CIOs, anywhere, who want daily use, not a demo.
What we do not do
We do not promise “AI that does everything”. An assistant that cuts handling time on a file, yes. An oracle, no.