trackle’s system is based on a high-precision, networked temperature sensor that measures the user’s core body temperature and sends the reading to a mobile device via the public cloud. The system then evaluates the measured data and calculates the relevant cycle status. Machine learning should help optimize the reliability of the predictions. trackle is based on Microsoft’s cloud platform Azure Germany , which ensures that data is stored exclusively on servers in Germany.
The new trackle system is the latest in a series of similar family-planning aids to be developed over the last few years. For instance, Leipzig-based VivoSens Medical presented its OvulaRing at CeBIT 2016, and in summer 2016, Ava Science from San Francisco launched its wearable Ava on the market. Both also utilize biosensors and calculate cycles based on measured data. While VivoSens Medical and Ava Science predominately advertise their products as fertility aids, trackle’s developers promise that their system will help both women wishing to become pregnant and those wishing to avoid pregnancy.