Rockfish Synthetic Data Platform

Rockfish Synthetic Data Platform enables enterprises to generate privacy-safe, purpose-built synthetic data directly within Snowflake. The app helps teams create realistic datasets for testing, analytics validation, machine learning, and AI evaluation without relying on sensitive production data.

Rockfish is built for structured and time-series data, including operational telemetry, observability, event, and other high-volume enterprise datasets. Users can generate representative baseline datasets, create scenario-specific variations, and produce realistic edge cases for downstream workflows.

Rockfish supports schema-driven generation, data-driven generation, scenario-based data creation, and evaluation workflows across AI, ML, analytics, and agentic system use cases.

Key capabilities of the Rockfish Native App include:

- Generating synthetic datasets from customer data or from schema definitions in Snowflake
- Writing generated synthetic data back into Snowflake tables
- Supporting privacy-safe data creation for secure sharing, testing, and AI development
- Producing labeled and scenario-specific datasets for ML and analytics workflows
- Enabling teams to create representative baseline data as well as hard-to-find edge cases
- Helping validate AI, ML, and agentic systems with realistic, purpose-built test inputs

By running in Snowflake, Rockfish helps organizations accelerate data preparation for AI and analytics while reducing privacy, compliance, and access barriers.