The practice

We ship AI into production with your teams.

A running system, built beside the people who will own it. Not a slide deck. We choose the one use case worth automating first and ship it, on Google Cloud, with governance and the EU AI Act designed in from the start. Your team keeps it running after we leave.

Work with us

We reply within 2 working days. Founded by Cyril Maréchal, Google Developer Expert in AI.

What we do

From AI strategy to a first use case in production

We choose the one use case worth automating first, and ship it: a running system, not a slide deck.

Production ML on Google Cloud

Vertex AI, MLOps and governed architectures, across predictive models and LLMs, on one stack.

Governance and human-in-the-loop

Who decides, who reviews, what is logged. The EU AI Act and the GDPR designed in from the start, not added at the end.

How an engagement works

4 phases. Most engagements start with the first and draw on the others as they are needed.

  1. 01

    Architect

    Strategy and foundation: what to build first, and on what.

  2. 02

    Builder

    Engineering and execution: the system, shipped to production.

  3. 03

    Guardian

    Reliability and safety: monitoring, drift, cost caps, review.

  4. 04

    Catalyst

    Your team and leadership: upskilling, AI-assisted delivery, a fractional head of AI.

Async first. Decisions are recorded in your own repository, with a written update every week. Working hours 09:00–18:00 CET.

Tell us what you are trying to put into production.

Work with us

Or write to contact@highknow.ai
We reply within 2 working days.