Rockfish Data

Real-world results from enterprises using Rockfish to generate privacy-safe, high-coverage data for ML training, evaluation, and scenario modeling.

Rockfish’s EvalLab is a data-driven framework for evaluating analytics AI agents, ensuring reliable behavior before release through automated regression testing.

Rockfish Data is honored to receive 3rd prize in the 2024 T Challenge AI for Telecommunications 
organized by T-Mobile and Deutsche Telekom's research and development unit

Rockfish builds a platform to help organizations use their data more effectively, responsibly, and impactfully.

EvalLab generates high-coverage datasets to identify potential failures in AI models and agents before customer-facing issues arise.

GitHubRepository owner

Rockfish Data partners with Snowflake to enable telecom operators and network technology providers to develop and validate autonomous network operations using privacy-safe synthetic data. The integration leverages Snowflake’s AI Data Cloud to streamline workflows for network automation. The solution aims to enhance operational efficiency while addressing data privacy concerns in telecom infrastructure.

Mar 2026SalesTech StarNews article

Rockfish Data secures **$4 million in seed funding** to advance its **synthetic data generation platform**, designed for operational workflows. The San Ramon, CA-based company leverages synthetic data to streamline processes while maintaining data privacy and compliance. Investors back the platform’s potential to transform industries reliant on secure, scalable data solutions.

Jan 2025citybizNews article

Rockfish provides synthetic data solutions tailored to enterprise operational workflows. The company targets businesses seeking scalable data alternatives to address growing demand. Its approach integrates directly into existing processes for seamless adoption.

Jan 2025TechCrunchNews article