Digeiz generates audience analytics while minimizing personal data exposure throughout the processing chain. The platform analyzes visitor flows, counting and behavior patterns without relying on facial recognition, identity-based matching, or long-term storage of raw images.
Privacy by design means privacy is embedded directly into the architecture of the platform. Raw images are processed immediately, analytics outputs are aggregated, and the system is not designed to identify named individuals.
Digeiz is designed to understand flows, counts, dwell time and pathways across physical venues. It supports decision-making at venue level, not recognition, authentication or identification of specific people.
Video frames are processed locally in real time and do not become stored business assets within the analytics workflow. The value comes from metrics generated through processing, not retaining raw visual content.
Clients access visitor counts, dwell time, cross-visits, typical pathways and media performance indicators. Outputs are designed for reporting and optimization, not monitoring specific individuals.
Digeiz supports deployments with entrance signage, QR codes and privacy information pages that help clients explain processing on site.
