From forest trails to city streets.
Built for pedestrian navigation across diverse terrain, Rahbar is designed to sustain positioning under dense tree cover and between tall buildings, where GPS signals can become unreliable.
POSITIONINGBring reliable, motion-aware positioning to your outdoor app—from trail hikes to urban walks, even when GPS is unreliable or unavailable.

The positioning
is Rahbar.
Our mission is to make reliable positioning and navigation part of every outdoor experience. Rahbar combines inertial sensing, sensor fusion, and physics-informed AI to help your users stay on track as terrain, surroundings, and GPS availability change.
Built for pedestrian navigation across diverse terrain, Rahbar is designed to sustain positioning under dense tree cover and between tall buildings, where GPS signals can become unreliable.
POSITIONINGSupport the way people carry their devices: handheld, moving with a swinging arm, chest-mounted, or waist-worn. Rahbar is designed to adapt to these changing poses and carrying modes.
PEDESTRIAN MOTIONBring Rahbar’s positioning intelligence into your app while keeping your maps, interface, and user experience. Its hardware-agnostic approach supports integration across smartphones and wearable devices.
YOUR APP, YOUR EXPERIENCERahbar combines GPS with measurements from accelerometers, gyroscopes, magnetometers, and barometric pressure sensors. Inertial navigation, sensor fusion, and physics-informed AI work together to support continuous positioning as GPS conditions change.
Designed to work with low-cost MEMS sensors found in smartphones and wearables, Rahbar provides a software-defined approach to positioning without relying on a single hardware platform.
Talk through your integrationConceptual architecture. Discuss platform and sensor requirements with our team.
Explore Rahbar’s positioning capabilities through our iOS evaluation app, from a trail on USGS Topo to an urban walk on Apple Maps.
Request an evaluation
Follow a recorded path alongside terrain contours and landmarks. The evaluation app also supports downloadable USGS Topo maps for offline use.

Review an urban walk over satellite imagery, with the track colored by elevation rate and options to share GPX or overlay a track.

See distance and direction cues to a selected waypoint as you move, alongside positioning and altitude estimates.
Screenshots from the Rahbar iOS evaluation app. SDK scope and integration requirements are discussed separately.