Company

Mobility Drives Progress.

Our core business focuses on the analysis and processing of anonymized mobile network signaling data sourced from A1 Telekom Austria and Telefónica O2. Using proprietary algorithmic models, we map human mobility flows to generate valuable insights. These insights help optimize existing concepts, improve traffic efficiency, and enable the targeted enhancement of infrastructure.

Data Coverage in Austria & Germany

A1 Telekom Austria

In Austria, our mobility analyses are based exclusively on technical, anonymized mobile network signaling data provided by the network operator A1 Telekom Austria. This data represents a representative sample of approximately 40% of the Austrian population and is derived from A1’s mobile customer base. It includes customers of the brands Bob, Yesss, and Red Bull MOBILE, as well as additional mobile virtual network operators (MVNOs) and roaming customers from international mobile network providers.

Telefónica O2

In Germany, we use anonymized mobile network signaling data from Telefónica Germany. This data is based on a representative sample of around 33% of the population and includes customers of the brands O2, Blau, Ay Yildiz, and Ortel, as well as other MVNOs and roaming users within the Telefónica network.

From Data to Insights

Rooted in Research

Research Project AGETOR:  Analysis of movement of persons in streams Real-time based on data from mobile and social media to ensure the safety at major events

The immense scientific potential of anonymized mobile network data was recognized as early as 2013. This led to the launch of the AGETOR research project.

The objective of the project was to develop a deployment-ready, low-cost monitoring system requiring no on-site installation, designed to improve safety at large-scale events. The project itself, along with the machine learning methods and analytical techniques developed, forms the foundation of today’s Mobility Insights platform.

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Advantages of Mobile Network Data as an Analytical Method

Comprehensive

Surveys are time-consuming and costly, counting methods are limited to specific locations, and GPS data, despite its precision, is typically available only for a small subset of the population. As a result, comprehensive and continuous data collection is often not feasible.

Thanks to their broad availability, mobile network data effectively compensate for the limited coverage of traditional methods. They enable the analysis of mobility patterns across large population groups and provide a robust data basis for large-scale spatial evaluations.

Daily

Comparable analytical approaches such as surveys, counts, or GPS-based analyses usually fail to deliver timely results due to the effort involved in data collection. This limits insights into short-term changes in mobility behavior.
Mobile network data, by contrast, are generated continuously and enable daily analysis of movement flows. They provide up-to-date insights into mobility patterns and allow dynamic developments to be identified and assessed promptly.

Data Protection

The processing of mobile network data requires the highest level of care, supported by appropriate technical and organizational measures. These include pseudonymization, aggregation, and secure multi-party computation to ensure data protection and security.
Our methodology is fully GDPR-compliant and certified by TÜV Saarland, with certification renewed annually.

Mobility Enables Social Interaction 

Human mobility behavior influences nearly every aspect of society. Discover how we can support your industry with targeted insights tailored to your specific challenges.