Routing that respects the terrain.
A pedestrian profile with a hiking difficulty cap, bicycle costing that knows gravel from tarmac and how you feel about hills, lit-street preference for the run home after dark, and elevation profiles that return null rather than a guess.
Built for apps where the route is the experience.
Fitness and adventure apps live or die on route quality. These knobs are in the engine, not on a roadmap.
Costing that knows your bike
Road, hybrid, gravel or mountain: bicycle type, surface tolerance and hill appetite all shape the search. This is a real MapMap route, Bakewell to Monsal Head on a hybrid with quiet-road and gentle-hill preferences: 5.4 km, 18 minutes, exactly as the engine returned it.
A difficulty cap, not a disclaimer
The pedestrian costing takes a maximum hiking difficulty on the SAC scale, so a family walk never quietly includes a scramble. Wheelchair and low-vision profiles ship in the same costing, and lit-street preference covers the run home after dark.
Profiles that never guess
Elevation along any route, with a null where there is no coverage rather than an invented number. Climb totals your users can trust, because an honest gap beats a confident lie.
An answer when riders ask why
Request the rationale and the response names what shaped the route: a surface avoided, a difficulty cap binding, a hill preference applied. Trail apps get to explain themselves instead of shrugging.
The map works where the signal does not
Signed territory packages carry tiles, search and routing fully offline. The summit photo uploads later; the route home should not have to.
Route-planning agents, grounded in the engine
Every costing knob is callable through the hosted MCP server, so an AI coach can plan a flat 40 km gravel loop and mean it: the constraint runs in the engine, not in the prompt.
Known limit: there is no 3D terrain or hillshade rendering today, and elevation coverage is not global; where data is missing the API returns null, never a guess.
We will build your route planner as a working POC.
Tell us the activity and give us a region, and our AI agents will build a working route-planning proof of concept on MapMap: your costing preferences, elevation profiles, your map style. Built the same agent-first way as everything in our showcase.
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.