Turning IOT sensor data into behavioral insights

IOT Sensor data and activity detection

Activity detection:

  • Events
  • Moments
  • Segments

Data fusion:

  • Smartphone sensors (GPS, gyroscope & accelerometer).
  • Wearables (biometrics).
  • In-home (motion) sensors.

State of the art machine learning and behavioral modeling

  • Signal processing and machine learning.
  • Transport mode classification, venue mapping, map matching, home/work detection, semantic time modeling, ...
  • Unsupervised learning of temporal routines and expected behavior.
  • Cognitive computing to predict expected events and moments before they happen.

Mobile SDK: designed for efficiency, built for accuracy

  • Available for Android and iOS.
  • Easy integration in mobile apps.
  • Optimized for accuracy and battery usage.
  • Minimal bandwidth usage during data collection.
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Scalable data processing and access

  • Hosted on Amazon Virtual Private Servers.
  • RESTful API for direct integration with any programming language or system.
  • Easy to process JSON resources.

Data governance and privacy

  • Compliant with European and international privacy and data protection regulation.
  • No data collection without explicit user consent.
  • Full data encryption, on device and when transferred.
  • All data owned by our customers on a first-party data basis.
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