The partner opportunity

Crowd-sourced location intelligence for housing and public services

A listing shows a property. The people who live there know how it feels. Our vision is to turn crowd-sourced, first-hand experiences of neighbourhoods, homes, rooms and property management into a new intelligence layer for where and how we live.

Why now

As cities grow and the way we work changes, understanding everyday life at home and in our neighbourhoods matters more than ever. Resident experience could help reveal recurring pressures that listings and broad statistics miss, creating a starting point for better questions and more informed decisions.

Why now: the motivation behind our vision for crowd-sourced location intelligence. The video presents the opportunity, not evidence of MY AREA coverage, predictive accuracy or proven outcomes.

Investors

One growing evidence layer. Multiple ways to create value.

MY AREA starts with useful tools for residents and home seekers: record room-by-room observations, compare homes and choose which first-hand experiences to share. The ambition is to turn that participation into structured, geo-mapped, time-aware location intelligence.

Our commercial roadmap centres on recurring B2B subscriptions: aggregated big-data feeds and APIs, listing enrichment and area dashboards. Planned AI-based recommendations and property matching would help make that evidence relevant to individual needs. New York and Singapore are our intended launch markets; building participation, proving data quality and validating paying demand come first.

Housing and property partners

Beyond the listing. Towards a better fit.

For property managers, developers, landlords and agents, resident experience could add the context that photos and floor plans cannot: how rooms feel, when disturbances occur and what daily life around a home is like.

We want to work with partners on pilots that invite resident participation and explore richer listings, better feedback and more informed housing choices. The roadmap includes AI-based property matching and recommendations that connect a home seeker's stated priorities with relevant property and area evidence, where sufficient data exists. The aim is better-informed matches, not a guarantee of suitability or an automated judgement about residents.

Public authorities & services

Make everyday experience part of the picture.

Noise, perceived safety, maintenance and neighbourhood conditions shape how people rest, feel and live. Structured resident reports could complement official statistics and service data, helping public authorities, housing services and researchers ask better questions about recurring local issues.

Our vision includes privacy-aware area dashboards and aggregated data feeds to support research, service planning and evaluation over time. Future AI-assisted analysis could help surface patterns for human review, not establish causes or replace professional judgement. We welcome scoped pilot discussions to define useful questions, evidence thresholds and responsible ways to measure progress.

Building the foundations: the experience-reporting tools are available, but we do not yet have an established dataset to demonstrate these insights. AI recommendations, AI-based property matching, commercial feeds and institutional dashboards are planned developments, not live services. Future products depend on sufficient participation, data quality, privacy safeguards and validation. Private notes stay private; any shared insights would need aggregation, evidence thresholds and clear limitations. We are seeking conversations, not claiming existing partnerships or proven outcomes.