AI readiness audit
We review processes, data and infrastructure and map the places where AI gives a real effect.
01 / 03
An honest look at where AI will pay off in your organisation — before anyone writes code.
What you get
We review processes, data and infrastructure and map the places where AI gives a real effect.
Open or commercial models, cloud or on-premise, and what it will cost to run.
A plan in stages with effort, risks and what you get at each step.
A second opinion on a system you already have or on a vendor proposal.
02 / 03
Practical courses that get your people working with LLMs and ML on tasks from their own job.
What you get
Short, intense sessions built around your own data and use cases.
From LLM basics to agents, RAG and putting models into production.
Participants work on real GPUs, not slides.
What AI can and cannot do, and how to run AI projects.
03 / 03
We design, build and run the system — and stay with it after launch.
What you get
Assistants that search your documents and act in your systems.
Models running as reliable services, with monitoring and rollback.
The interface on top: dashboards, catalogues, internal tools.
Custom models for science and for data that does not fit off-the-shelf tools.
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Choose what your team needs. We come back with a format, length and price for your group.
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