Rockfish Data

Founded by MuckAI Girish in 2022

Generate synthetic data and edge cases to test AI models and agents

Pricing model

Demo

Rating

★ Mixed Reviews

Time to value

Moderate Setup (1-3 hours)

You can use Rockfish Data to generate synthetic datasets and edge cases for evaluating artificial intelligence models and autonomous agents. You can start with an existing schema, sample dataset, or production export to model domain behaviors without exposing sensitive personal records. The system creates realistic scenarios, including anomalies, latency spikes, and data drift, allowing you to catch failures before shipping to production. You can export datasets directly into Snowflake, Databricks, or existing evaluation pipelines while running fully inside your own cloud boundary or private network.

What Rockfish Data does

Generate labeled synthetic datasets from database schemasInject data drift and anomaly scenarios into test environmentsEvaluate AI agent responses against edge-case queriesExport synthetic evaluation sets to Snowflake or DatabricksSimulate system failure cascades to benchmark ML detection modelsCreate privacy-compliant test datasets for vendor sharingGenerates domain-specific synthetic datasets from schemas or sample dataInjects realistic anomalies, drifts, and edge cases with full labelsPreserves temporal patterns and multivariate correlations without copying raw personal dataDeploys inside private VPCs, on-prem environments, or as a Snowflake Native AppProduces labeled test suites specifically structured for AI agent evaluationProvides SOC 2 Type II certified privacy-safe data generation

Pricing breakdown

Pricing model: Book a demo

Frequently asked

Snowflake

Databricks

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