<?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/F702D34D-0CA2-4816-88EC-2FC5FA51CFBA" ns1:id="F702D34D-0CA2-4816-88EC-2FC5FA51CFBA"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/ECCED9F3-523A-4CC5-A70E-9B9C0A1B5C7D" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/7E819A13-3518-4460-8138-BCFFB427AF00" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/ECCED9F3-523A-4CC5-A70E-9B9C0A1B5C7D" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2022-03-30T23:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/56937A66-1A25-4919-ABD0-177F61515ABC" ns1:rel="FUND" ns1:start="2019-11-01T00:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">511664</ns2:identifier></ns2:identifiers><ns2:title>Loughborough University and Satoshi Systems Limited</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Knowledge Transfer Partnership</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>To use state-of-the-art data science and machine learning technology to develop credit rating and performance score models for commodity traders and predict supply chain disruptions; thus supporting safe access to securitised loans and reducing financial risks in physical commodity supply chains.</ns2:abstractText></ns2:project>