Active Computing & AI

Ulster University and Allsop Limited KTP 24_25 R1

In plain English

AI plain-English summary

A new notetaking app called DIVERSE will automatically transcribe, summarise, and integrate HR meetings in multiple languages, then file signed reports directly into company software. Current HR meeting notes are often incomplete, biased, or lost in translation when employees speak different languages. Manual transcription is slow and error-prone, and signed-off records rarely flow seamlessly into compliance systems. This project builds a tool that handles all three steps—transcription, translation, and software integration—in one go. If successful, DIVERSE could make HR meetings more inclusive for non-native speakers and reduce administrative overhead for HR teams. The system aims to ensure that every participant’s contribution is captured accurately, regardless of language, and that signed records automatically update compliance databases. This matters most for organisations with multilingual workforces, where miscommunication or missing documentation can lead to legal risk or unequal treatment. The project is a commercial partnership between Ulster University and Allsop Limited, funded through Innovate UK’s Knowledge Transfer Partnership scheme. It is applied research with a clear market goal: launch a product that improves transparency and record-keeping in HR processes.

View original technical description
To develop and launch to market 'DIVERSE', an innovative multilingual notetaking application tailored for HR meetings, ensuring inclusive communication and efficient record-keeping. The system automatically transcribes, summarizes, and integrates signed reports directly into HR software for optimal compliance and transparency.I

View the original record at the funder ↗

Related Research

Grants with similar aims, by meaning.

Ulster University and Carecall (NI) Limited KTP 24_25 R2
University of Hertfordshire and Sonovision Limited KTP 22_23 R1
Wrexham University and Wurkplace Limited KTP 21_22 R3
Birmingham City University and In-Comm Training and Business Services Limited KTP 24_25 R1
Ulster University and Rubik Technologies Limited KTP 24_25 R2

Original classification

Knowledge Transfer Partnership

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.