Operational geospatial AI, with the audit trail.
Probability prediction, isochrones, and routing in one platform, designed to drop into ArcGIS dashboards and incident review packets.
Where this comes in.
ESRI renewal cost is climbing faster than your usage.
You don't need a full enterprise GIS stack to answer 'where are we most likely to find them' or 'how far can a unit reach in 15 minutes'. Footstep is a per-call API that drops into the dashboard your team already runs.
Predictive search isn't built into your CAD platform.
Most CAD platforms route, geocode, and map. They don't predict. Footstep adds a probability surface as a single API call, with profile and conditioning so the output is defensible, not generic.
Incident reports need reproducible methodology.
Predict is deterministic. The same inputs return the same surface, every time. Suitable for after-action reviews, FOI responses, and methodological scrutiny.
Predict access and use
Restricted access. Predict is not part of the standard plan. Access is granted by application only, to organisations with appropriate operational expertise. Apply for access.
Decision support only, never a replacement. Predict outputs are probability priors. They must never replace expert human judgment, established response protocols, or any duty-of-care obligation. Outputs may be incorrect, incomplete, or unsuitable for a given scenario. Final decisions sit with qualified human operators.
Footstep gives public-safety GIS teams a single API for spatial prediction, isochrone reach, geocoding, and routing. One key, one billing line, one auditable response shape. The output drops into ArcGIS, QGIS, deck.gl, or your existing operations dashboard without a transformation step.
Predict is decision support, never a replacement for expert judgement. Determinism makes its outputs reviewable; profile conditioning makes them defensible.
On-prem and air-gapped deploys are available for regulated workloads. Talk to us about DPA, hosting region, and per-call audit logging.
What you can count on.
- Deterministic outputs suitable for incident reports and after-action reviews.
- UK-hosted by default. Other regions and on-prem deploys available.
- DPA, security questionnaire, and audit-log access available on request.
- Single x-api-key auth for both REST and MCP. No SDK lock-in.
- Output is GeoJSON, H3, or polyline. Open formats throughout.
The tools that fit.
Where to look first.
A probability heatmap of where a missing person is most likely to be found, built from their behavioural profile, the terrain, and current weather.
Where can you reach in 30 minutes?
Reachability polygons by time or distance from any starting point. Walking, cycling, or driving.
Travel times between every pair.
An N-by-M travel-time matrix between sources and destinations. The basis for assignment, dispatch, and ETA quotes.
Where is this place?
Turn an address, landmark, or place name into coordinates. Returns ranked candidates with confidence scores.
What's at this location?
Given a coordinate, return the address or place label. Useful for labelling pins and incident reports.
Clean up a messy address.
Free-text in, structured out. Fixes typos, expands abbreviations, infers missing fields, and scores confidence.
Driving, walking, and cycling directions.
Point-to-point or multi-stop routes with terrain analytics. Answer 'is this walkable?' without a second call.
Find stops along the way.
Coffee, charging, fuel, food. Ranked by how little detour they add to the existing route.
Related use cases
Search, rescue, and crisis response
Score where a missing person is most likely to be found. Direct ground teams to the highest-density hexes first.
Healthcare access and equity
Compute drive-time and walk-time access to facilities, model coverage gaps, place ambulances with travel-time matrices.
Public-sector planning
Model who can reach what, where the gaps are, how transit changes the answer. Reachability and matrix tools for civic planning.