Rockfish Data
Rockfish Data operates a generative data platform that creates synthetic time-series data, enabling enterprises to test AI models and agents against rare events, edge cases, and scenarios before production deployment.
About Rockfish Data
Rockfish Data operates a generative data platform that creates synthetic time-series data, enabling enterprises to test AI models and agents against rare events, edge cases, and scenarios before production deployment.
Products
Modular platform to generate synthetic time-series data, inject scenarios, and test AI/ML models and agents for failures before production.
Sample-based synthetic time-series generation that learns structure, correlations, and behavior from production data.
Schema-only generation that produces realistic, eval-ready datasets without requiring source data.
Injects edge cases, rare events, and incident patterns into generative model output or datasets to expand training data.
Turns scenarios into prompts, queries, and expected responses for agent evaluation suites.
What customers say
- Scenario Studio
Rockfish reports that Rento Perú used Scenario Studio to increase coverage of underrepresented booking behaviors for a customer-propensity model. Its first production campaign recorded four bookings among 17 contacts in…
Case study - AgentFuel
Rockfish reports that Conviva used AgentFuel to generate linked web-behavior and chat data for testing NEXA. The synthetic dataset reproduced an approximately 3.5-fold purchase signal and included four labeled failure…
Case study - Case study
Rockfish reports that BIMCON engaged it for an unnamed automotive OEM to generate rule-compliant synthetic vehicle orders. Reported results include fivefold dataset expansion and approximately 157,000 valid buildable…
Case study
Security and compliance
As reported by Rockfish Data. Ask for audit reports before you buy.
- SOC 2 Type IICompliant
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