Active Computing & AI

Ulster University and Rubik Technologies Limited KTP 24_25 R2

In plain English

AI plain-English summary

A mid-sized manufacturer in Belfast is about to get a new tool that turns its messy spreadsheets and production logs into plain-English business advice. This project, a Knowledge Transfer Partnership between Ulster University and Rubik Technologies, builds a system called Data Mule 2. It uses large language models—the same type of AI behind chatbots—to analyse complex operational data from factories and warehouses. Many mid-sized manufacturers collect vast amounts of data but lack the in-house analytics teams to make sense of it. Data Mule 2 aims to bridge that gap, translating raw numbers into actionable insights for managers who need to make decisions about production schedules, supply chains, or cost-cutting. If it works, the impact is straightforward: manufacturers that cannot afford data scientists could still get the same kind of strategic intelligence. The project initially targets the UK and Ireland, but the company plans to expand globally. This is applied commercial research, not fundamental science. Success would mean better competitiveness for a sector that quietly underpins much of the economy—without requiring factory floors to hire a single programmer.

View original technical description
To develop Data Mule 2, an innovative analytics solution using large language models (LLMs) to help mid-sized manufacturers gain actionable business insights. Data Mule 2 will transform complex data into easy-to-understand insights, aiding decision-making and improving competitiveness. Initially focused on the UK and Ireland, Rubiktech plans global expansion.

View the original record at the funder ↗

Related Research

Grants with similar aims, by meaning.

Loughborough University and TrainFX Limited KTP 22_23 R5
Queen's University Belfast and Green Lizard Technologies Limited
Ulster University and Project Plug Limited
Queen's University of Belfast and Allen Integrated Solutions Limited KTP 21_22 R4
Queen's University Belfast and Combined Facilities Management Limited KTP 24_25 R4

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.