<?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/96296913-1009-4705-94EB-A8BEC5C32258" ns1:id="96296913-1009-4705-94EB-A8BEC5C32258"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/0983B0AB-AD9F-435F-945D-2AA816365712" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/F6FD3838-6132-4A65-AE25-80F657FC212E" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/F6FD3838-6132-4A65-AE25-80F657FC212E" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2027-12-31T00:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/1ED913DF-49F8-4ED0-99F4-54E363C43DC5" ns1:rel="FUND" ns1:start="2025-06-30T23:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">10138517</ns2:identifier></ns2:identifiers><ns2:title>Teesside University and Vianet Limited KTP 24_24 R3</ns2:title><ns2:status>Active</ns2:status><ns2:grantCategory>Knowledge Transfer Partnership</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>To develop an AI-enabled model combined with an embedded Large Language Model (LLM) to automate calibration and fault prediction associated with draught beer flow lines and to create a Data as a Service business model through enhanced analytics.</ns2:abstractText></ns2:project>