nHabit is a deep AI powered platform that, unlike traditional postcode-based portals, rethinks property search for its users around real life needs (work, study, social and exercise) then uses real-time travel times, lifestyle fit and amenity scores to suggest the right neighbourhoods and properties. Powered by Milo, a proprietary large language model connected to a three-dimensional graph database, nHabit allows renters to describe their lifestyle requirements, commute preferences, safety concerns, and amenity needs in conversational terms. Estate agents and BTR developers can partner with nHabit for free to reach a community of high-quality, pre-qualified tenants through a highly personalised swipe-based experience.
For estate agents and BTR operators, nHabit is positioned as a new way to meet demand as discovery habits shift. The platform’s approach is designed to help end-users understand neighbourhood context, trade-offs and real-life constraints more clearly – moving beyond directory-style search towards guided decision-making. nHabit describes a longer-term vision that “stitches” public and private datasets and Milo’s insights into a “living digital twin,” aiming to become a decision layer for people who own, manage, or want to inhabit urban space – starting with a London pilot and expanding to other global metropolitan hubs over time.
What are the benefits of listing your properties on nHabit?
- Free to use: Agents can choose to list properties on the free tier, which also comes with pay-as-you-go token for extra listings and more flexibility
- Pre-qualified and vetted tenants: Gain access to a pool of thousands of high intent leads with identity and documentation pre-verification completed in app.
- Differentiated discovery for listings: Helps properties compete on lifestyle fit and context, not just price and bedrooms.
- Stronger renter matching: Multi-anchor search can reduce wasted enquiries by aligning homes to real constraints.
- Modern user experience: Swipe-based journey designed to increase engagement versus traditional search behaviour.
Web: www.nhabit.com
Email: contact@nhabit.com