<?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/9DD0094A-CEE2-4BA2-9B74-A8BFEA937A54" ns1:id="9DD0094A-CEE2-4BA2-9B74-A8BFEA937A54"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/5E8A06C2-E9CE-4711-838A-0B5626A676AA" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/0453612A-3185-4BA4-92B0-DF25DBB2F3CE" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/0453612A-3185-4BA4-92B0-DF25DBB2F3CE" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/4CB97B07-95E6-4CB7-9033-3B6F9CCCBF99" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/39E7696B-C1E2-4F90-ACC7-B84D61D3D3E1" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/13C979ED-CCCE-4C21-9953-307B6EC53D42" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2025-08-30T23:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/72B9C183-AD57-4ED2-A13E-9B8D9310C801" ns1:rel="FUND" ns1:start="2024-08-31T23:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">10108601</ns2:identifier></ns2:identifiers><ns2:title>Aquila: a novel AI Digital Twin tool for Construction Sites</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Launchpad</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>We aim to develop and launch a product called 'Aquila', a novel AI Digital Twin tool for construction sites.

Deficiency in construction site productivity stems from inadequate control methods unable to provide bi-directional control loops (from project control office to site, and vice-versa), resulting in suboptimal work programmes, inefficient resource utilisation, logistical bottlenecks, and, consequently, project delays, escalated costs and increased emissions. For instance, heavy plants and equipment (P&amp;amp;E), accounting for over 40% of total project costs and often linked to issues of project delays, congestion and environmental emissions, have

i) shockingly low P&amp;amp;E utilisation rates (as-low-as 30%), and

ii) unnecessary duplication/redundancy (3-to-5 times).

P&amp;amp;E are one of the biggest productivity blind spots within the construction sector, a substantial waste of resources given the UK's &amp;pound;650 billion infrastructure pipeline investment by 2025 and required P&amp;amp;E resources (~&amp;pound;3b billion/year), representing both a major industry need and market opportunity.</ns2:abstractText></ns2:project>