<?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="2026-06-03T15:52:43Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/8565136A-D37D-43C1-9817-9D717D2D7D4F" ns1:id="8565136A-D37D-43C1-9817-9D717D2D7D4F"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/3BD5A585-5D65-4F1F-843A-F538CC792700" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/3BD5A585-5D65-4F1F-843A-F538CC792700" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2024-06-29T23:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/855E934D-6B4C-450D-89BE-39EAAE46B8D9" ns1:rel="FUND" ns1:start="2022-01-01T00:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">10003216</ns2:identifier></ns2:identifiers><ns2:title>Teesside University and Direct Line Supplies Limited</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Knowledge Transfer Partnership</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>To carry out holistic digitisation of all the operational and decision-making processes through the application of an artificial Intelligence and a data science framework to create a Digital Twin. This will enable evidence-based intelligence; enhanced management decision making across all functions.</ns2:abstractText></ns2:project>