Where we focus

We believe in bringing the right digital skills to support compelling research questions. This includes the quality of our technological expertise and our software, and the way we collaborate with academic researchers. It also includes the impact of our activities and the dissemination of our skills. Finally, we passionately believe in sustainable, reusable software. This is open science in practice.

Software quality

Software quality

In the spirit of open science, we're passionate advocates for sustainable software. And as software becomes more important in academia, so too does its quality and sustainability. In short, better research software leads to better, more sustainable research. For researchers to get the most value...

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Artificial Intelligence

When intelligent algorithms are applied to research questions, worlds of possibility start to emerge. Inspiring emotions and ideas in society, Artificial Intelligence (AI) applications hold a lot of promise in academic research too. Innovative technologies like deep learning are developing quickly....

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Artificial Intelligence
Analytics

Analytics

Exploring data has always been at the core of science, but new tools are paving the way to better sense-making – and we’re at the forefront. Data volume and complexity are exploding, and interpreting data to gain more insights and draw conclusions is becoming more and more challenging....

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Data processing

Data is a wonderful thing, but it only comes to life when it’s turned into useable information. Our systems, organizations and lives today produce an increasingly large amount of data. So much so, that it’s difficult for researchers to process – and this is where data should come alive. In...

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Data processing
Computing

Computing

Compute power keeps on growing exponentially, and we're putting developments front and centre of what we do. The computers on our desks and in our labs are becoming ever more powerful. They now have multiple compute cores that work in parallel to solve problems.

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