One platform to generate synthetic time-series data - then test where your AI breaks.
A modular platform: use one module or chain them end-to-end - generating the data your evals need and measuring the results, for ML testing and agent evaluation.
From input to baseline data - then diverse data to test your AI.
Generate data or train a generative model, measure its quality, then use it to produce the diverse, labeled data your AI testing needs.
Data or Schema
Production time-series, a schema definition, or plain-language intent.
Train or generate
Take a data sample, train a generative model, and generate baseline data (DataFuel) - or start from a schema or intent and generate it directly (SchemaFuel).
Baseline data
Either route lands here - baseline data, ready for downstream use.
Scenario Studio
Takes your Rockfish generative model or dataset and produces scenario-specific variations - injecting edge cases, rare events, and incident patterns to expand your training data.
Scenario Studio + AgentFuel
Scenario Studio injects patterns into your data, then AgentFuel generates prompts, queries, and expected responses - ready for AgentEval to score.
Use one module, or the whole pipeline.
Each module handles one part of the workflow - run a single one on its own, or chain them end-to-end for ML testing and agent evaluation.
Generate synthetic time-series from a sample of your production data - learning its structure, correlations, and behavior.
Generate from a schema definition alone - no source data required to get a realistic, eval-ready dataset.
Inject edge cases, rare events, and incident patterns into the generative model's output or a dataset - to expand your training data.
Turn scenarios into prompts, queries, and expected responses - the eval suites your agents get scored against.
Ready for the way you actually run.
Fits your stack
Outputs land in Snowflake, Databricks, or your existing pipeline - with no model lock-in.
Flexible deployment
Run in your own VPC, on-prem, or as a Snowflake Native App - generation happens where your data lives.
Secure by design
SOC 2 Type II, independently audited. Rockfish learns patterns, not people - raw records never leave your environment.
Built for continuous data
Regenerate as your schema, logic, or models change - so your eval data never goes stale.
Put the platform to work on your data.
Bring a schema or a sample, generate what your evals are missing, and measure the result - end to end.