Skip to content

50,000 free calls a month, card-free. Get an API key →

Solutions / Real Estate & Proptech

Search by commute, not by circle.

A radius search lies about cities. Isochrones on the real road network answer what buyers actually ask: what can I reach in twenty minutes? Matrices score every listing against work and school.

From search to shortlist with honest travel times.

The buyer journey is a chain of location questions. Each one below maps to one shipped tool.

A commute-search card over a real MapMap map of Manchester, with genuine 10 and 20 minute cycling isochrones shaded in blue around St Peter's Square
Commute search

What can I reach in twenty minutes?

Drive, cycle and walk isochrones from any point on the real road network, intersected with your listings: commute-first search instead of a radius that pretends every direction is equal.

See isochrones live
A scoring table over a blurred Manchester map: three neighbourhoods with genuine cycling times to the city centre and airport from one matrix call
Scoring

Score every listing against real life

One matrix call scores a whole results page against the buyer's anchors. These are real cycling times, not crow-flies.

Three listing cards for Didsbury, Chorlton and Ancoats, each with a real MapMap static map thumbnail and a genuine cycling time to the city centre
Listing images

A branded map on every listing

Static map images render the location map for every listing page, email and PDF from your own deployment, styled to the portal's brand. Portfolio-scale volume costs nothing per request.

A Didsbury map with three real places marked and listed: a primary school 100 m away, a Co-op 70 m away and East Didsbury station 1 km away
Context

What is actually nearby

Nearby-place search answers by category: schools, stations, pharmacies, supermarkets, nearest first with real distances. Honest context from open data your users can check.

the whole stack, on your own infrastructure
$ docker compose up -d --build
→ tiles · geocoder · router · guidance · territories
→ 0 external map dependencies
Self-hosted

Listing data that stays yours

Your listings and your users' search patterns are the business. Self-hosted, neither transits a third-party map provider, and there is no per-load metering on your busiest pages.

Ink illustration of a terraced house with travel-time contour rings radiating outward and a chat bubble
Agent-first

Property copilots with real answers

The hosted MCP server gives AI agents geocoding, isochrones, matrices and place search, so a copilot can answer “a flat within 25 minutes of the office by bike” with engine-computed truth.

Known limit

Commute times cover driving, cycling and walking on the road network. The platform does not compute public-transport journey times, so a rail-commute search is not something we will claim until it is real.

Agent-first

Sample listings and three commute anchors.

Our AI agents will build commute-first search across your listings, with real isochrones and matrix scoring behind the ranking, on branded listing maps.

The offer

What you are actually being offered.

On the page, not in the small print: the scope, the deliverable, the timetable and how the money works, before you spend an hour on a call finding out.

Who it is for
A portal or agency whose search still draws circles on a map when buyers think in commutes.
What is in scope
Sample listings and three commute anchors are enough. We build commute-first search across them, with isochrones and matrix scoring behind the ranking.
What you get
Commute-first search on your own listings, with branded listing maps and the ranking arithmetic visible rather than a black box.
How long
Days rather than months, with the date agreed on the call.
What it costs
Scoped on the call. Isochrone and matrix calls are metered on the published rate card.
Next step
Send sample listings and three commute anchors, and we will rank them by commute rather than by radius.
Send us sample listings