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We’ve developed Artificial Intelligence (AI) and Natural Language Processing (NLP) solutions to assess articles and identify related datasets. Our reporting enables funders, publishers, and institutions to measure adoption across the research community, track policy and enforce compliance, and introduce systematic interventions to help researchers successfully share their data.

Why did your organisation join the LIFES community?

We're very interested in all the new technology being built around how datasets and research articles relate to each other.

How is FAIR and equitable science and innovation relevant to your organisation?

We use AI to remove the impediments to Open Science, so our end goal is FAIR and equitable science. Being part of LIFES means that we're part of a broader community working together towards that goal.

What would your organisation like to contribute to the LIFES community?

Our technology stack and workflows are key for creating a catalog of the research outputs associated with an academic article & linking those all together. Once those links are created then we can proceed to make the outputs FAIR.

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