Solutions / Consumer Tech
Train agents on your real world. Expose no one.
Turn years of user data across every system into a safe replica that behaves like the real thing. Your agent teams train, evaluate, and red-team on realistic environments without touching a single real user.
See it work
One user. One stand-in everywhere.
Watch a single user move through four file types and get replaced by one consistent stand-in. Then push the privacy shifting and see scenario diversity rise while replica utility holds.
Step 3 of 3
Safe replica
One stand-in replaces that person everywhere. Joins survive.
From Dana Whitfield <dana.w@live.us>order 8841 buyer Dana Whitfield Columbusseller_id 204, Dana Whitfield, active{"user":"Dana Whitfield","msg":"refund?"}More varied tasks help agents generalize.
Stays within about 5% of real-data performance.
Why teams use it
Realistic environments without the privacy block
Stop waiting on review to point agents at real-shaped data. Build the environment, prove it is safe, and move.
Train agents on realistic environments
Build simulated worlds that behave like production. Your agents practice on data that looks and joins like the real thing, so what they learn holds up when it ships.
One safe replica from many systems
Take years of data across email, messaging, point of sale, HR, and accounting and turn it into one coherent replica. The same user stays the same user in every file.
No way back to the real business
Names, details, and geography shift so no one can reconstruct your real users or operations. The world stays coherent. The trail back to a real person is gone.
More scenarios, better generalization
More varied simulated tasks give your agents broader coverage. In testing, diversity went up while model performance stayed stable or improved slightly.
Bring a sample of your data. We will hand back a safe replica your agents can train on this week.
Book a demoHow GraphReplica delivers
A replica that joins, holds, and proves it is clean
The flagship is realistic entity replacement. The same real user gets the same stand-in across millions of records and years of history.
The same stand-in everywhere
GraphReplica resolves which records are the same real-world user and gives that user one stand-in across every file, table, and document. Joins and relationships survive. Replacement consistency holds at about 0.91 F1 with zero false identity merges.
Built for messy, multi-format data
Feed it CSV, JSON, JSONL, Parquet, XLSX, SQLite, TXT, Markdown, DOCX, EML, MBOX, and PDF. Sensitive entities get realistic stand-ins. Everything that is not sensitive stays exactly as it was.
Proof that nothing leaked
Every run includes a leak check and a consistency check, then produces audit-ready reports. Built to meet GDPR, CCPA, and HIPAA requirements. Across stress tests GraphReplica leaks 0% of injected sensitive values.
Runs inside your environment
Ship it as a container in your cloud, your data center, or Databricks. Data never leaves and never reaches Secludy. Air-gapped. Setup takes about an hour and your first safe dataset lands in under a week.
Case study
A large consumer marketplace, training agents on its real world
Anonymized for confidentiality. The numbers are the ones GraphReplica defends.
The situation
They wanted to train and simulate agents on years of real operational data across many file types. They could not expose user PII. As the data spanned more time and more systems, entity consistency broke down and the replica stopped behaving like the real thing.
What GraphReplica did
It turned multi-year, multi-system data into one coherent safe replica. The same user kept the same stand-in across every file. It shifted geography and details so the real business could not be reconstructed. The world stayed coherent and the joins held.
The outcome
- 0% PII leakage across stress tests
- Consistency held across 100M+ records and many file types
- More diverse tasks with model performance stable to slightly up
- First safe dataset in under a week
Their agent teams now train and red-team on realistic data without exposing a single real user.
Build your safe replica this week
Bring a sample across your real file types. We will run GraphReplica in your environment and hand back a replica your agents can train on. Setup takes about an hour.