We combine machine learning, environmental and terrain data with behavioural science to infer where people are most likely to go when information is incomplete and conditions are uncertain. Starting from sparse signals such as last known location and time, Footstep models probable paths, decision points and future locations rather than relying on simple distance-based assumptions.

Search & rescue is our first proving ground, where minutes matter and prediction accuracy saves lives. By dramatically narrowing search areas and prioritising effort, Footstep enables teams to allocate resources more effectively and reduce critical response times.

The underlying technology is designed to extend beyond SAR into any domain that requires probabilistic location prediction across complex physical environments.

Footstep AI

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