Safe Seed: Relation-Preserving Synthetic Data Without PHI/PII

Synthetic datasets that behave like production — without exposing real people — for Salesforce, databases, and regulated analytics.

Executive summary

Safe Seed generates synthetic datasets that behave like production data — without PHI/PII. It is built for teams that need realistic sandboxes, demos, and analytics in regulated environments (especially Salesforce and healthcare-adjacent schemas), where “fake but plausible” is not enough: relationships across fields and tables must hold, privacy must be measurable, and every run must leave an audit trail.

Modern data teams operate under a contradiction: the richest, most realistic data for building and testing lives in production — where it cannot go. Compliance requirements lock PHI, PII, and sensitive customer records away from sandboxes, QA, demos, and analytics. Classic generators optimize for column-level realism and break the relationships that make data useful. Safe Seed is designed around a different promise: preserve the relations that matter, then prove fidelity and privacy on every seed job.