Solutions for insurance
Give AI a safe copy of your policy and claims data
GraphReplica builds a realistic replica of your policy, claim, and customer tables that keeps every relationship intact. Your AI and BI teams move now. Compliance stays satisfied. Real customers stay out of it.
See it on a claim
One claim, three tables, relationships intact
Flip the source data to a safe replica. Sensitive entities change to realistic stand-ins. The join keys that tie policy to claim to customer never move.
Policy, claim, and customer tables
Toggle the source data to a safe replica. Watch the join keys stay put.
| customer_id | CU-40912 |
| full_name | Elena Cruz |
| elena.cruz@mail.com | |
| zip | 94110 |
| segment | Preferred |
| policy_id | PL-77310 |
| customer_id | CU-40912 |
| line | Auto |
| annual_premium | $1,842 |
| vin | 5XYZU3LB7DG118274 |
| claim_id | CL-558201 |
| policy_id | PL-77310 |
| customer_id | CU-40912 |
| amount | $6,400 |
| status | Approved |
Cross-table relationships
3 of 3 foreign keys join. Same keys in source and replica.
Claim note, same stand-ins
Replica quality vs real data
Why carriers choose GraphReplica
Ship AI on regulated data without the wait
Your data platform spans Databricks and Snowflake and holds policy, claims, and customer PII. GraphReplica turns it into something your teams can actually use.
Unblock AI and Gen BI on regulated data
Point coding agents and BI copilots at a safe replica of policy and claims data. Teams build now instead of waiting on the long privacy review.
Let analysts learn AI-powered BI safely
Analysts practice on a realistic copy before they ever touch production. Same shapes, same relationships, no real customer exposed.
Analytics stay accurate
Keys and relationships survive across policy, claim, and customer tables. Joins return the right rows so reports and models still hold. Utility stays within about 5% of real data.
What GraphReplica does
A replica your analysts can trust
Realistic entity replacement is the flagship. The same real-world entity gets the same stand-in everywhere, so the data stays usable and the math stays sound.
Relationships survive across every table
The same customer maps to the same stand-in in every table, file, and claim note. Primary keys and foreign keys stay intact so cross-table joins still work. Replacement consistency runs about 0.91 F1 with zero false identity merges.
Realistic stand-ins, not masking
Sensitive entities become believable stand-ins while everything non-sensitive stays exactly as it was. A VIN stays VIN-shaped, a ZIP stays a real area, tables keep their row counts and types. The replica reads like real data.
Zero leakage, audit-ready
Every run passes a leak check and a consistency check and produces audit-ready reports. 0% PII leakage across stress tests where unprotected models leak about 27.5% of injected sensitive values. Built to meet GDPR, CCPA, and HIPAA requirements.
Runs inside your environment
A container runs in your cloud, 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.
Bring a sample of your policy and claims data. We will show you a safe replica that still joins. You get it in under a week.
Case study
A top-5 US property and casualty insurer
A global data platform spanning Databricks and Snowflake, blocked from giving AI and BI tools access to production policy and claims data.
The situation
Compliance would not let teams point coding agents or BI copilots at production policy and claims tables. Existing synthetic-data tools worked one table at a time and lost the relationships across tables, so the output was useless for real analytics.
What GraphReplica did
GraphReplica built a safe replica that kept primary-key and foreign-key relationships across policy, claims, and customer tables. The same customer got the same stand-in across structured fields and free-text claim notes, so joins and context survived end to end.
The outcome
AI adoption was unblocked on regulated data. Analytics teams moved right away instead of waiting on the long approval to use real data. The replica held up under the same models and dashboards the team already ran.
“We stopped waiting on privacy review. Our analysts and agents work on data that still joins. Not one real customer is exposed.”
Put your claims data to work
Book a demo. We will run a safe replica on a sample of your policy and claims tables. Setup takes about an hour.