π ADULT: Gallery - Complete Album!
Enforcing Privacy at Internet Scale
Use Cases
Metrics
Divvi Up can preserve user privacy while also collecting the application metrics needed to make product decisions.
Mozilla Firefox
Mozilla uses Divvi Up to collect metrics from users while preserving their privacy. Learn more about Divvi Up & Firefox.
Horizontal
Horizontal uses Divvi Up to collect telemetry in their sensitive applications at the intersection of technology, human rights, and justice. Learn more about Horizontal & Divvi Up.

Tinfoil
Tinfoil uses a fork of Divvi Up's software to deliver aggregated insights from website analytics and surveys, ensuring GDPR and CCPA compliance. Learn more about the technology behind Divvi Up and Tinfoil.

Federated Machine Learning
Federated Learning is an emerging field of AI/ML and Divvi Up can help preserve user privacy when application developers train their models.
Flower Divvi Up Integration
A team of researchers sponsored by NLNet have built a prototype integrating Flower with Divvi Up's distributed secure aggregation system. Learn more about Flower & Divvi Up.

