<?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="2026-07-08T08:44:08Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/60F69B00-44C9-45A5-94BC-58FEC9D66E0E" ns1:id="60F69B00-44C9-45A5-94BC-58FEC9D66E0E"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/2EDE90F5-EC4F-4C9B-BF9A-F497F323F9A7" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/A44B33B2-C353-478D-8B82-3E4622BECDEF" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/A44B33B2-C353-478D-8B82-3E4622BECDEF" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2026-02-28T00:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/54F9B81E-CAF6-4E8F-B4AB-67F5892400F7" ns1:rel="FUND" ns1:start="2025-11-01T00:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">10171587</ns2:identifier></ns2:identifiers><ns2:title>AI location intelligence platform that enables equitable, human-centric urban decision-making through emotional, behavioural, and spatial data fusion.</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Fast Start Response</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>nHabit is a UK-based micro business led by Steven Charlton (Project Lead), Jonathan Hill (Technical Lead), Alessio Petrin (Head of UX/UI), Laith Mohajer (Data Scientist) and Hari Gogna (Data Scientist).

nHabit is seeking funding to develop the world's first platform using behavioural data and route-optimisation to match people with places based on lived experience.

The platform uses the proprietary novel N4 Engine that integrates multimodal routing intelligence (isochrone) with GNN-based spatial-semantic learning, injecting relevant, spatially aware community context to nHabit's LLM agent for efficient search. The N4 engine generates spatial clusters providing efficient indexing and lifestyle-focused community embeddings and provides personalised fit scores and urban desirability paths in fewer operations.

The key value proposition is a better match for buyers/renters in terms of lifestyle fit, cutting the typical 20-hour search to under an hour. Agents gain a broader, high intent buyer pool beyond postcode limits, higher lead to view rates, and sub day onboarding for ~&amp;pound;1.8k/year without extra portal integration spend. A typical UK sale takes ˜ 16 viewings before offer (Quick Move Now, 2023). nHabit's lifestyle matched leads are projected to cut wasted viewings 30% (˜5). At an average &amp;pound;15 agent hour, that saves &amp;pound;75 labour per listing - about &amp;pound;9k yearly on 120 listings, while freeing staff to secure new instructions.</ns2:abstractText></ns2:project>