
The problem
Companies lack a safe, repeatable way to reuse production data outside production environments.
Choosing between unrealistic synthetic data or copying partial production data across engineering, analytics, and AI workflows, can introduce risk and inconsistency.

What Scrim does
- Converts prod-data into controlled datasets by applying rule-based transformations without breaking structure and relationships.
- Standardized datasets creation with repeatble runs, versioned configs, and traceable audits.
- Delivers portable datasets that can be consumed across engineering, analytics, AI or product workflows

What it’s not
- Not a database copy or backup tool. It doesn't replicate or sync prod systems.
- Not a random synthetic data generator. Outputs are configured, structured and context-driven.
- Not a SaaS platform. It runs locally or inside your pipelines.
