December, 2025

Product Features

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EvalLab: Agentic AI Testing

EvalLab is Rockfish’s new data-driven framework for evaluating analytics AI Agents.

It ensures your agents behave reliably before every release by turning evaluation into a consistent, automated regression process.

EvalLab lets you simulate real-world conditions by identifying patterns or injecting incidents, generate synthetic datasets and persona-based prompts for those scenarios, and automatically produce expected outcomes.

SchemaFuel: AI-Assisted Onboarding for Data Based Generation

SchemaFuel
Assistant is an AI-powered onboarding workflow for schema-based synthetic data generation.

It removes delays caused by unavailable or sensitive production data by letting teams generate multi-table synthetic datasets directly from a schema.

Describe your schema in natural language, and the assistant infers fields, keys, relationships, and constraints - generating a complete configuration you can refine and run. Synthetic dataset are created in seconds, accelerating prototyping, QA testing, and demo preparation.

Case Studies

Enhancing supply chain intelligence with Rockfish

Our collaboration with BIMCON, supporting a Tier-1 North American automotive OEM, showcases how Rockfish enables modeling and testing in complex, rule-driven domains.Using Rockfish, BIMCON was able to:Accurately model intricate feature dependencies and build constraintsGenerate high-fidelity synthetic datasets representing thousands of valid vehicle configurations.Expand scenario and test coverage-without accessing or exposing sensitive production data.

Read the Case Study

Also available:  GSMA Case Study: Overcoming Data Bottlenecks and Scarcity – Rockfish Data


Want to explore how Rockfish can enhance
your data and AI workflows?

EvalLab: Agentic AI Testing

is Rockfish’s new data-driven framework for evaluating analytics AI Agents.

It ensures your agents behave reliably before every release by turning evaluation into a consistent, automated regression process.

EvalLab lets you simulate real-world conditions by identifying patterns or injecting incidents, generate synthetic datasets and persona-based prompts for those scenarios, and automatically produce expected outcomes.

SchemaFuel: AI-Assisted Onboarding for Data Based Generation

SchemaFuel
Assistant is an AI-powered onboarding workflow for schema-based synthetic data generation.

It removes delays caused by unavailable or sensitive production data by letting teams generate multi-table synthetic datasets directly from a schema.

Describe your schema in natural language, and the assistant infers fields, keys, relationships, and constraints - generating a complete configuration you can refine and run. Synthetic dataset are created in seconds, accelerating prototyping, QA testing, and demo preparation.

SchemaFuel: AI-Assisted Onboarding for Data Based Generation

SchemaFuel
Assistant is an AI-powered onboarding workflow for schema-based synthetic data generation.

It removes delays caused by unavailable or sensitive production data by letting teams generate multi-table synthetic datasets directly from a schema.

Describe your schema in natural language, and the assistant infers fields, keys, relationships, and constraints - generating a complete configuration you can refine and run. Synthetic dataset are created in seconds, accelerating prototyping, QA testing, and demo preparation.

EvalLab: Agentic AI Testing

EvalLab is Rockfish’s new data-driven framework for evaluating analytics AI Agents.

It ensures your agents behave reliably before every release by turning evaluation into a consistent, automated regression process.

EvalLab lets you simulate real-world conditions by identifying patterns or injecting incidents, generate synthetic datasets and persona-based prompts for those scenarios, and automatically produce expected outcomes.

SchemaFuel: AI-Assisted Onboarding for Data Based Generation

SchemaFuel
Assistant is an AI-powered onboarding workflow for schema-based synthetic data generation.

It removes delays caused by unavailable or sensitive production data by letting teams generate multi-table synthetic datasets directly from a schema.

Describe your schema in natural language, and the assistant infers fields, keys, relationships, and constraints - generating a complete configuration you can refine and run. Synthetic dataset are created in seconds, accelerating prototyping, QA testing, and demo preparation.