Facility -

// Privacy-preserving Distributed Algorithm

Keep the Data.
Share the
Insight.

Run collaborative analyses across institutions without moving patient-level data.

// 01 About Us

Distributed Collaboration, Without Compromise

We believe important questions should not go unanswered just because data live in different places. PDA helps institutions learn from each other without handing over sensitive data.

We build privacy-preserving tools for multi-site research so teams can work together across hospitals, health systems, and research networks — while keeping data under local control.

Our goal is simple: make collaboration easier, faster, and more trustworthy.

12+

Statistical Methods

20+

Partner Sites

100+

Publications

CRAN

R Package Available

// 02 Our Goals

Safe. Accurate. Fast. Free.

Making collaborative analytics easier to access, easier to use, and easier to scale.

Safe

Formally privacy-preserving. Only summary statistics leave each site. No patient records are ever shared.

Accurate

Federated estimates provably converge to the gold standard of pooled analysis under mild conditions.

Fast

Converges in as few as one or two communication rounds. Minimal overhead for participating sites.

Free

Open-source on CRAN and GitHub. Freely available to the global research community.

// 03 Use Cases

PDA in the Real World

// 04 Partners & Affiliations

Trusted by Leading Institutions