Case Studies

To evaluate the suitability of a decentralised platform to enable members of an association to share their data in a safe and secure way

Implement a fast and accurate multi-model solution able to scale to thousands of labels

The aim of this project was to allow The Wellcome Trust to monitor where academic research funded by its grants was being cited in policy documents.

We worked with an NGO to develop an automated pipeline that can extract complicated, and varied medical information from PDF documents, in a standardised way.

We worked with Typsa to develop an AI copilot to help engineers submit succesful tenders based on previous projects.

We helped a medtech company to develop a voice interface for training simulations, allowing learners to talk to virtual reality patients with natural language.

We worked with a health tech company to develop an AI assistant to assist representatives in answering patient questions more efficiently.

We helped our client develop an AI shop assistant for beauty products that is safe and unbiased

The Wellcome Trust wanted to get more insight about where the benefits are being felt of the grants that they fund, to better inform decisions about which grants to fund.

The Wellcome Trust needed better visibility on where their research grants were being spent to better track the grants’ impact and use this to inform ongoing strategic decisions.

Overton needed a way to extract the authors and their affiliated organizations of academic publications from policy documents.