What we do

From strategy to production. No endless pilots.

We work in bespoke projects, implement our own platform, and keep measuring after delivery whether it gets used.


The benchmark comes before the build.

Otherwise you will not know afterwards whether it works. Five steps we go through on every project.

  1. Step 1

    Align on the problem

    What the organisation really needs, not what is being asked for.

  2. Step 2

    Data exploration

    Seeing what the data allows and where the mess sits.

  3. Step 3

    Set up benchmarks

    Question-answer pairs with a known outcome, so quality is measurable.

  4. Step 4

    Build the first version

    A working solution, not a demo that falls silent.

  5. Step 5

    Optimise and measure adoption

    Developing based on what people really use.

Phase 1

We do not deliver a pilot.

Phase 1 delivers something that runs, with a benchmark underneath. That way you know at the end whether it works, and you get into operation quickly instead of into yet another trial.

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Trusted by


Daan Witte, medeoprichter van Gradient

Grab a coffee with Daan. We think along, no strings attached.

We would love to hear what AI challenges you run into within your organisation. Together we figure out what the first step would be.