For B2B SaaS engineering and data teams

Give your agents safe customer data to build on

Point coding agents and BI tools at a safe replica of your customer tables. The data behaves like production. Customer PII never leaves your environment.

Multi-tenant joins stay intact. Privacy review stops blocking every project.

0% PII leakage across stress tests

1:1 Joins preserved across tables

~5% Utility gap vs real data

<1 wk To your first safe dataset

Coding agent on safe data

Flip the source and watch the work keep running

Toggle between your real customer tables and the safe replica. The PII changes, the keys do not, and the agent's join still resolves.

customers

PII replaced

Joins intact

account_id is unchanged, so customers and usage still join one to one.

Coding agent

agent · safe-replica

$ codex run "top accounts by usage, with plan"
SELECT c.customer, c.plan, u.events, u.agents
FROM customers c JOIN usage u USING (account_id)
ORDER BY u.events DESC;
✓ ran on safe replica · 0 rows of real PII touched

Result

0% PII leakage

1:1 Joins preserved

~5% Utility gap vs real

Ship features faster

Stop waiting on privacy review

Your engineers already have agents and copilots. Give them data those tools are allowed to touch.

Agents work today, not after review

Point coding agents and BI copilots at a safe replica instead of waiting on privacy review. Teams stop blocking on data access and start shipping.

Multi-tenant joins stay intact

The same real account gets the same stand-in across customer, account, and usage tables. Joins and relationships survive so your queries still mean something.

Customer PII never leaves

GraphReplica runs as a container in your cloud, data center, or Databricks. Data stays inside your walls and never reaches Secludy. Every run is audit-ready.

Realistic environments

Demo, QA, and analytics without exposing real customers

One safe replica feeds every place your team needs production-like data.

Demo and staging that behaves like production

Stand up demo, QA, staging, and analytics on data that moves like the real thing. No more fake data that hides bugs or risky real data that breaks contracts.

BI and analytics on a true-to-shape replica

Statistical shape and relationships hold across tables and documents. Replica utility stays within about 5% of real-data performance so reports still tell the truth.

Share and license without exposing customers

Hand a partner or a model vendor a safe replica. Your customers' PII and your IP stay protected while the data stays useful.

See a safe replica of your own customer tables, with joins intact, in under a week.

Keep your contracts

Move fast and stay inside the lines

Customer data you hold under contract carries obligations. A safe replica lets you use it without breaking them.

Zero leakage, proven under stress

0% PII leakage across stress tests. Unprotected models memorize and leak about 27.5% of injected sensitive values. GraphReplica leaks none.

Honor the contracts you signed

Customer data you hold under contract stays inside your environment and never reaches us. Built to meet GDPR, CCPA, and HIPAA requirements.

Audit-ready every run

Each run produces a leak check, a consistency check, and reports your governance and security teams can hand straight to an auditor.

Case study

A fast-growing B2B SaaS platform serving regulated customers

Anonymized for confidentiality. The numbers are representative of a real GraphReplica deployment.

The situation

Engineers could not point coding agents or BI copilots at production customer tables. Contracts forbid it, and privacy review took weeks. Demo and staging data was either fake and useless or risky real data nobody wanted to touch. Every AI project stalled at the same gate.

What GraphReplica did

GraphReplica produced a safe replica. Relationships held across customer, account, and usage tables. The replica stayed consistent across documents. The same account resolved to the same stand-in everywhere. Coding agents and BI tools worked on the replica directly. The container ran inside their own cloud. Customer PII never left.

The outcome

0% PII leakage

1:1 Joins preserved across tables

~5% Utility gap vs real data

<1 week To the first safe dataset

“Engineering and data teams move at full speed on realistic data. Customer PII never leaves our environment. Every run hands us a report the auditors accept.”
Head of Platform Engineering, anonymized B2B SaaS platform

Put your agents on safe customer data

Book a demo and we will run a safe replica on a sample of your tables. Setup takes about an hour and the first safe dataset lands in under a week.