Unlock the power of mobility data

Unlock the power of mobility data

The first open source mobility detection framework

Integrate the MobilityKit SDK in less than 10 minutes

Cartfile

github "mobilitykit/mobilitykit-ios"

Podfile

pod 'MobilityKit', :git => 'https://github.com/mobilitykit/mobilitykit-ios.git'

For further information visit the documentation

Key Features

Energy Efficient

Intelligent algorithms ensure ultra-low battery consumption

24/7 Detection

MobilityKit records even if the app is closed by the user

Privacy-by-Design

All data is processed on-device and never leaves the user's phone

Easy Integration

MobilityKit can be integrated in less than 10 minutes

Route Recording & Mapping

Recording of walked or driven routes and detection of used transportation mode (car, feet, bike, ...)

Places & Visits

Detection of arrival and departure events (aka. visits) inlcuding geo-clustering of frequently used places

Example Use Cases

On-Demand Mobility

Car-Sharing

With the MobilityKit prediction feature, a carsharing provider can increase conversion rates by offering cars to the user short before the next predicted trip (if a car is nearby and the destination is within the operation zone).

Autonomous Fleets

With the MobilityKit prediction feature, an autonomous fleet provider can increase conversion rates by offering cars to the user short before the next predicted trip (if a car is nearby and the destination is within the operation zone).

E-Mobility

Intelligent Energy Management

By having a prediction of a user´s next possible trips, e-charging recommendations can be provided so that the users can charge their car at the optimal time spots and eliminating the risks of having a low range.

Convenience Functions

Destination Prediction

To provide a better user experience, destination can automatically be selected by using the user’s next predicted destination in navigation, public transport or other mobility apps.

Vehicle Preconditioning

Preconditioning of the user’s car can be set by using the prediction feature of MobilityKit. Knowing when the next car trip will take place can be used as a trigger to regulate temperature or adjust the seats to the user.

User Profiling

Microtargeting

Recognize the offline behavior of users, segment it and make it available for cross-device advertising campaigns. Background location detection detects visits to stores, restaurants and other POIs anytime, anywhere. The machine learning algorithm calculates preferences, frequently visited locations, competitive purchases, home and works zones, etc. This enables advertisers to achieve unprecedented micro-targeting without additional hardware.

Pricing

Open Source

GPL licensed for open source projects

  • Full on-device processing (serverless)
  • Energy efficient detection
  • Support via GitHub issues
  • Supports iOS / Swift 4.2+
  • Full source code access
  • No registration required

Commercial

Individual licensing for commercial use

  • Everything from Open Source +
  • Individual support SLAs
  • Support for legacy iOS versions
  • Early adopter access to Android SDK (beta)
  • Individual feature customization
  • App integration support
  • Individual payment conditions

Everything is tailored to your needs

Individual Pricing

Contact us

MobilityKit is a product offered by:

niato UG (haftungsbeschränkt)
Viktoriastr. 1
80803 München
Germany

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