Divvi Up: A privacy-respecting system for aggregate statistics
Privacy, Enforced by Technology
How Divvi Up Works
A user-generated metric
Divvi Up works for any data that can be collected across a population, like telemetry, survey results, or many other scaled metrics collection use cases.
Divide the metric
Metrics are fed into a library where they’re divided into two shares (Divvied Up!). The shares are then encrypted locally, before any data leaves the device.
Two non-colluding servers
With two separate servers, each with only a partial share, it's impossible to deduce the whole metric. After validating the input, each server performs additional de-identification and aggregation.
Produce insights while protecting privacy
Divvi Up makes it possible to gain insights about your population of users without compromising individual privacy. Mitigate compliance risks, eliminate the need to store PII for telemetry, and respect your users’ privacy.
Preparing for Our First Subscribers & New Funding
On the road to a privacy-preserving metrics MPC service that is ready for productionRead more
Divvi Up Receives Funding from Internet Society Foundation and Meta
Support for ISRG’s newest project, Divvi Up, a service for privacy-preserving metricsRead more
An update on Divvi Up and the Distributed Aggregation Protocol
A new aggregation algorithm and preparing for production.Read more