<?xml version="1.0" encoding="UTF-8"?><ns2:project xmlns:ns1="http://gtr.rcuk.ac.uk/gtr/api" xmlns:ns2="http://gtr.rcuk.ac.uk/gtr/api/project" xmlns:ns3="http://gtr.rcuk.ac.uk/gtr/api/fund" xmlns:ns4="http://gtr.rcuk.ac.uk/gtr/api/person" xmlns:ns5="http://gtr.rcuk.ac.uk/gtr/api/project/outcome" xmlns:ns6="http://gtr.rcuk.ac.uk/gtr/api/organisation" ns1:created="2026-06-22T07:57:45Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/F3D87E25-B83B-4156-98E5-D7F7D20919C7" ns1:id="F3D87E25-B83B-4156-98E5-D7F7D20919C7"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/F67E2393-DF55-4D0C-837F-76F93459FD19" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/F1441F1E-4CB8-4D16-8114-829A9122FCCF" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/F1441F1E-4CB8-4D16-8114-829A9122FCCF" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2027-01-31T00:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/4932D1B5-5EDE-463E-A23F-AABDA82A50EF" ns1:rel="FUND" ns1:start="2025-02-01T00:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">10127577</ns2:identifier></ns2:identifiers><ns2:title>Ulster University and Rubik Technologies Limited KTP 24_25 R2</ns2:title><ns2:status>Active</ns2:status><ns2:grantCategory>Knowledge Transfer Partnership</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>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.</ns2:abstractText></ns2:project>