Find the gaps. Plan the sites. Route the range honestly.
Drive-time coverage against real residents shows exactly where the network is thin. Elevation profiles feed range and fuel modelling, with a null where there is no coverage rather than a guess.
From site planning to the driver's range ring.
The gap analysis and the driver-facing app below are both live: one plans the network, the other proves the developer experience.
Where the network doesn't reach
Drive-time coverage from every public charge point in East Lindsey, Herefordshire and Stoke-on-Trent, measured against Census 2021 population centroids. Toggle to rapid-only, as this capture of the live tool does, and watch the coverage collapse.
Open the gap finder →
909 real sites, a working app
A full EV-charging companion, clustered and status-coloured across 909 real UK sites, filterable to the connector and power you need, built by autonomous AI agents in under a day on the MapMap SDK. The fastest proof of the developer experience we can offer.
See the showcase →
Elevation profiles for range modelling
Elevation along the route feeds range and fuel modelling directly: a null where there is no coverage, never a guess dressed up as a number. It is the same profile behind the range ring and arrival-battery estimate in the showcase app.
Chargers with an honest detour cost
Search along a route returns charging stops with their real engine-computed detour, so an app can say what the stop actually costs the journey instead of drawing a radius and hoping. This is a real result on the Preston to Kendal drive: the Lune Aqueduct station adds three minutes.
No per-call metering on your own box
Docker distribution and signed territory packages: a self-hosted deployment has no metering to a third party sitting between your app and your drivers.
An API key in one call
A hosted MCP server, one-step installs for Claude, Cursor and VS Code, and a card-free API key with no sales call in between. Your team can be routing to a charger and drawing a range ring this afternoon.
Known limit: coverage percentages come from open charge-point registries and Census centroids, not live network telemetry. Registries carry stale and dead entries, so treat site counts as indicative, and a driver being inside a drive-time ring says nothing about whether that charger is working, free or affordable right now.
We will build your site-planning proof of concept, fast.
The 909-site charging app and the low-bridge app in our showcase were both built by autonomous AI agents in under a day, on the same MapMap SDK and gateway. Give us your real site list and your coverage target, and we will build a working proof of concept on your own network, fast enough that you will see it before the next planning meeting.
Automotive
MapMap in the vehicle: a full navigation stack you host and control.
Trucking & Logistics
The router that refuses the bridge before your driver ever sees it, with dispatch-grade optimisation built in.
Bus & Fleet Operations
Every vehicle, on one live map, running on infrastructure you host and control.