Life Sciences and Healthcare | Secludy GraphReplica

Life Sciences and Healthcare

Use patient data for AI without exposing patients

GraphReplica turns clinical and claims data into safe replicas your teams can train, evaluate, and analyze on. The medical meaning stays. The relationships stay. The PHI is gone.

0%

PHI leaked across stress tests

~5%

Replica utility gap vs real data

<1 wk

First safe dataset

100M+

Records held consistent

Source vs safe replica

The same record, safe to use

Flip between the original record and the safe replica. Every sensitive value gets a realistic stand-in. The medical meaning holds. Zero PHI carries through.

Source record vs Safe replica

Safe patient replica

Medical meaning preserved. Same patient maps the same way everywhere.

Every sensitive value gets the same realistic stand-in across encounters and claims. Everything else stays exactly as it was.

Why GraphReplica

Realistic data your reviewers can sign off on

Masking leaves records unusable. Random swaps turn one patient into different people and break every join. GraphReplica keeps the data real and keeps it safe.

Medical meaning stays intact

A provider stays a provider. A claim stays claim-shaped. Diagnoses and geography stay at the right level. Your models learn from data that still behaves like real care, with utility within about 5% of real data.

Relationships survive every join

The same patient maps to the same stand-in across encounters and claims, in every file and table. Joins hold across millions of records and years of history, so cohort and longitudinal work still works.

PHI never leaves your environment

GraphReplica runs as a container inside your cloud, data center, or Databricks. It is air-gapped. Your data never reaches Secludy. Setup takes about an hour.

Audit-ready every run

Each run produces a leak check, a consistency check, and a report your legal and security teams can hand to a regulator. Built to meet GDPR, CCPA, and HIPAA requirements.

Works on the data you already have

Point it at clinical exports, claims tables, and unstructured notes across messy multi-format sources.

CSV, JSON, JSONL, Parquet, XLSX, SQLite, DOCX, PDF, EML, Markdown

Stop waiting on PHI review to start the AI project.

Put your patient data to work

Book a demo and we will run a safe replica on a sample of your data. Setup takes about an hour and PHI never leaves your environment.