• Nederlands

Sector

Data and AI for government and non-profit

In government and non-profit, every decision counts twice: it has to be right and it has to be explainable. Since 2018 we have worked with security partners, research institutes and foundations on data that reveals patterns without turning the model into a black box. Accountability is not an appendix here; it is the design.

Empty council chamber with a lectern and dossiers, light and orderly, with one teal folder

Challenges

What is at stake here

Challenge

Meeting new requirements

Access, retention periods and permissions have all been thought through. What is missing is the trail: which data went in, and who signed off.

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Challenge

Our data is not trusted

As long as the definition is written down nowhere and the origin cannot be traced, every discussion is won by whoever defends their version hardest.

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Solution

Data-driven working

The route to an organisation that steers on figures instead of gut feeling. Eight steps from taking inventory to culture and adoption.

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Evidence

Where this has already been done

Case

A crime room for DITSS

For the Dutch Institute for Technology, Safety & Security, Twentynext built a crime room where scattered signals come together and analysts interpret sooner.

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Case

Linking datasets at the Dutch police

Which combinations of existing datasets produce new, relevant information and which mainly produce spurious correlations? An analysis for the Dutch police.

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Case

Counting wildlife on camera images

Image recognition that counts animals and tells species apart on wildlife camera images, such as fallow and red deer. Research with MIT support, continued with WUR.

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View all cases and projects

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Work with us

Realise your project together?

The people who build it also run it afterwards. Eindhoven, since 2014.

Martijn van Grieken

Martijn van Grieken

Director Data & AI

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