Rockfish develops a platform for generating synthetic data for AI applications, producing realistic, privacy-preserving, and labeled datasets for training, testing, and developing AI and agentic AI systems. The platform generates datasets from schema, prompt, or production data snapshots while preserving correlations, temporal structure, and multi-table relationships for relational, time-series, and event-based data. Founded in 2022 and headquartered in San Ramon, United States, Rockfish has raised $6M in Seed funding from investors including Emergent Ventures, Foster Ventures, TEN13, and Dallas Venture Capital. The platform enables organizations to create compliant synthetic data at scale, addressing privacy regulations and data scarcity challenges while supporting natural language scenario crafting and data augmentation for machine learning workflows.
Rockfish
SeedRockfish develops a platform for generating synthetic data for AI applications, producing realistic, privacy-preserving, and labeled datasets for training, testing, and developing AI and agentic AI systems. The platform generates datasets from schema, prompt, or production data snapshots while preserving correlations, temporal structure, and multi-table relationships for relational, time-series, and event-based…
About
Business model
AI Infrastructure > Enabling Technologies > Software > Training Data > Synthetic Data Platform > On Demand
Team background
College Wise > IIT Madras, Carnegie Mellon University, Wharton School
Institutional investors
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