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CLUSTER PRESERVING-PRIVACY-CLINICAL · 4 ENTRIES · EARLIEST ENTRY 2026-09-13

Privacy-preserving data platforms

This cluster consists of platforms that apply privacy-preserving techniques such as end-to-end encryption to sensitive data, covering clinical predictions, identity verification, and clinical-trial matching. The dated history before the index start shows no entries, so the cluster's timeline shape is too thin to read – it predates the index or its members are undated. Traction is led by passport with 0 stars, followed by secure_infer and Uniquity, also at 0 stars.

Entry timeline

ENTRY TIMELINE

AUG 2026: 2SEP 2026: 2
AUG 2026SEP 2026

Each bar is the month a member carries, which is a creation date where the source published one and a crawl date otherwise. Nothing in the index was found before 11 August 2026, and coverage broadened sharply on 14–15 August, so a bar from then on reports how much we found that month, not how much was built; an earlier bar reports how far back a member's own source dated it — not how long we have been watching.

Members by activity

Activity signals, not revenue.

Build origin · 4 unlabelled

Operator · 1 hobby · 3 unlabelled

Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 4 listed below. Unlabelled means nothing has decided yet — not that the answer is small.

  1. 01passport0★1 mo—Privacy-preserving platform that matches patients to clinical trials by proving eligibility without disclosing their lab results.
  2. 02secure_infer0★1 mo—hobbyWeb app that runs privacy-preserving machine-learning predictions on sensitive clinical data using end-to-end encryption to protect patient inputs.
  3. 03Uniquity — Private Proof of Humanity & Encrypted Submissions0★unknownlivePrivacy-preserving identity platform that lets users prove they are human and submit to campaigns without revealing personal data.
  4. 04ZKPerks - Privacy-First Marketplace0★unknownlivePrivacy-focused marketplace where users claim exclusive rewards using zero-knowledge proofs without disclosing personal data.

Ranked by traction, highest first, and paged 20 at a time — this is a window on the cluster, never the whole of it. Ties are broken by a stable id so a product cannot appear on two pages or fall between them. Browse every cluster.