Dynamically protect drivers’ automotive data
Aggregate Car Data: A Macro-Lens of What’s Happening
The Otonomo Dynamic Anonymization Engine protects driver data. Sophisticated combinations of anonymization techniques make data usable and valuable for a diverse range of mobility applications and services. Shield drivers’ identity while addressing a wide range of use cases, from city planning to HD mapping and media research.
About the Anonymization Engine
Dynamically Safeguard Driver Data
The Dynamic Anonymization Engine dynamically employs multiple anonymization techniques to protect drivers, while preserving the value of automotive data for specific use cases that use anonymized automotive data in different ways — from parking and road safety to media measurement.
Deliver Higher-Quality Apps and Services
App and service providers gain access to valuable data that they can confidently use for bulk services including smart city solutions, parking, congestion management, road hazard identification, and more.
Meet Drivers’ Expectations
Removing PII from automotive data is not sufficient to protect driver privacy. The Dynamic Anonymization Engine goes much farther so that drivers enjoy even stronger privacy protection.
Otonomo Dynamic Anonymization Engine
Learn more about how the Otonomo Dynamic Anonymization Engine works.
Read the Otonomo Driver Pledge
Otonomo is committed to putting privacy first.
Anonymized Use Case: Fleetonomy
Fleetonomy built a simulation that matches anonymized trip data to related datasets and demonstrates that its optimization solution improves key performance indicators for fleets.
Manage Regulatory Compliance
OEMs, other data providers, and data consumers must stay in compliance with privacy regulations such as the European Union’s General Data Protection Regulation (GDPR). The Dynamic Anonymization Engine makes this much easier.
What Drivers Think about Connected Car Data and Privacy
Read this survey conducted by Otonomo and Edison Research to learn what U.S. drivers think.