<?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/9426AFA5-91B9-41D0-8597-3EE7DE01DBF4" ns1:id="9426AFA5-91B9-41D0-8597-3EE7DE01DBF4"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/C115F06E-09C3-4F3F-AE11-006D4F3D507B" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/9CD67613-9501-482E-95B8-74B8FEBE7749" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/9CD67613-9501-482E-95B8-74B8FEBE7749" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/5AC5EAFB-C6DE-4173-B740-4B9C86603022" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2024-09-29T23:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/18F3C9CA-2BFF-4975-9831-085E64F5ABB5" ns1:rel="FUND" ns1:start="2021-09-30T23:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">512126</ns2:identifier></ns2:identifiers><ns2:title>University of Exeter and Datatecnics Corporation Limited</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Knowledge Transfer Partnership</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>To enable a new approach to infrastructure monitoring in the water sector through the transfer and embedding of skills and expertise to create a validated, self-learning FEA 'soil-pipe' model to predict clean water pipe failure, thereby reducing water losses.</ns2:abstractText></ns2:project>