# Synthetic data your models trust

Generate fully synthetic datasets that keep the statistical shape and the relationships of the original. Train models, run analytics, and ship demos on a faithful replica. Share it safely with zero PII leakage.

## Privacy goes up. Utility stays

Slide up the privacy guarantee. The synthetic replica keeps tracking the real distribution, task utility holds, and PII exposure drops to zero.

### Privacy strength

Slide up the privacy guarantee. Watch the replica stay close to the real data.

- **Low:** Medium High
- **Income distribution:** 95% overlap
- **Task utility vs real data:** 96%
- **Scenario diversity:** 88%
- **PII exposure risk:** 0%

Zero exposure. Provable privacy verified by a leak check.

### Why GraphReplica

## Other tools copy one table. We keep the whole picture.

A faithful replica is only useful if the pieces still fit together. GraphReplica generates across your entire dataset at once.

### Relationships survive across tables

Most synthetic tools work one table at a time and break your keys. GraphReplica keeps primary keys, foreign keys, and entity links intact across the whole dataset so joins still work.

### The shape of the data holds

The synthetic distribution tracks ground truth closely. Analytics, dashboards, and BI tools read the replica the way they read production.

### Differentially private by default

GraphReplica generates differentially private synthetic data. The privacy guarantee is mathematically provable. Every record passes a leak check before release and stress tests show 0% PII leakage.

### More privacy can mean better models

Adding privacy noise increases task diversity while model performance stays stable or improves slightly. Synthetic-trained classifiers stay close to real-data accuracy across privacy budgets. You get a stronger guarantee without paying for it in results.

### What teams build with it

## Move faster than the privacy review that used to block every project

Once your data is safe to use, every downstream team gets unblocked at the same time.

### Train and evaluate AI agents

Build realistic corpora to train, evaluate, and red-team agents. Stronger privacy settings widen scenario diversity so models see more cases.

### Power BI and analytics on a safe copy

Point coding agents and BI tools at a faithful replica instead of production. No privacy review queue, no exposed customers.

### Stand up demos, QA, and staging

Spin up environments that look and behave like real data without ever touching a real customer record.

### License and share proprietary data

Hand partners a usable dataset that carries none of the underlying PII, PHI, or IP.

### Tables, documents, and messy sources

Generate from CSV, JSON, Parquet, XLSX, SQLite, and more. Tables keep row counts and types. Documents keep their structure. The replica looks like the real thing.

### Runs inside your environment

A container runs in your cloud, data center, or Databricks. Your data never leaves and never reaches Secludy. Every run produces audit-ready reports built to meet GDPR, CCPA, and HIPAA requirements.

## Generate a safe dataset this week

Book a demo and we will generate a safe synthetic replica on a sample of yours. First safe dataset in under a week.