iOS TruePath

Your app's GPS paths are messy. Locations are not on the roads. We fixed that.

  • On-client snap to road
  • 97% accurate vs 73% for iOS Best for Navigation
  • Accurate even in dense urban canyons
  • You (the developer) control when road snapping is active

PRIVACY: Data never leaves the phone!

- (CLLocationAccuracy)psLocationManager:(PSLocationManager *)manager desiredAccuracyForActivity:(PSActivityType)activityType withConfidence:(PSActivityConfidence)confidence
    CLLocationAccuracy result = [manager desiredAccuracy];
    if (activityType == PSActivityTypeInVehicle || activityType == PSActivityTypeInVehicleStationary) {
        if (result != kPSLocationAccuracyPathSenseNavigation) {
            result = kPSLocationAccuracyPathSenseNavigation;
    } else {
        if (result != kCLLocationAccuracyBest) {
            result = kCLLocationAccuracyBest;
    return result;

iOS TruePath Features

PathSense TruePath provides the following improvements over iOS Best for Navigation, or server side solutions such as Google Snap to Roads:

  • Location is 97% accurate as compared to 73% for iOS
  • You (the developer) control when TruePath engages (unlike Best for Navigation which disengages unpredictably)
  • Easy in-app integration, no need to batch points and send to Google servers
  • Privacy: Your user's location data never leaves the phone

Frequently Asked Questions

Not finding what you are looking for? Send us an email.

Get In Touch

The Pathsense SDK (Framework) supports iOS versions up to 14

Use of the SDK is free for testing and evaluation under the Evaluation License on our Developer Portal. We, at our discretion, may allow students and startups to use the SDK for free in deployed apps for extended periods of time. Pricing for commercial deployments is based on a variety of factors. We offer both usage based and source code licenses. Please see our pricing section for more information.

This varies between individual modules in the SDK. Some modules require only precise location permission, others require motion and fitness. There is a complete list in the documentation.

Again this varies by individual module. Some modules such as Activity Recognition and Distracted Driving Detection use IMU sensor data and complex machine learning models created by our PhD scientists. Other modules make use of our proprietary location processing algorithms.

Team PathSense has more than 100 man years of experience in mobile location technology, geospatial, sensor fusion, and machine learning. The team has been building mobile location technology since 2003, long before the iPhone and Android existed.

PathSense has various SDKs and modules, not just one SDK. To get a complete list, sign up to access our Develoer Portal now.


PathSense Pricing



  • 1 active application
  • 1,000 monthly users
  • Non-commercial deployments
Get The SDK


Contact Us

  • Unlimited active applications
  • Unlimited monthly users
  • 24/7 support
Price Quote