Rockfish Data provides an enterprise generative data platform to create high-fidelity, privacy-preserving synthetic datasets. This platform enables AI and Agentic AI teams to accelerate training, testing, and development by generating realistic data from schema or prompts. The solution addresses data scarcity, coverage gaps, and labeling needs while ensuring compliance for various industry applications.
Funding
$5.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
EVFounders
Product
Problem
Enterprises face challenges in leveraging sensitive data for analytics due to privacy regulations, data sparsity, and restrictions on data sharing. Traditional data anonymization techniques often reduce data utility, hindering the development of effective, outcome-centric analytical models.
Solution
Rockfish Data offers a generative data platform that creates privacy-preserving synthetic data tailored for diverse enterprise datasets. Using state-of-the-art deep generative algorithms, the platform addresses data sparsity and sharing restrictions, enabling organizations to operationalize outcome-centric analytics effectively. The platform adapts to various data types, sources, and structures, optimizing data usability while maintaining robust security measures to protect data integrity and privacy. By generating synthetic data that mirrors the statistical properties of the original data, Rockfish Data allows businesses to unlock the value of their operational data without compromising sensitive information.
Target Audience
The primary customers are enterprises seeking to leverage sensitive data for analytics while adhering to privacy regulations and overcoming data sparsity challenges.
Features
- Generates privacy-preserving synthetic data using deep generative algorithms
- Adapts to diverse datasets, including various data types, sources, and structures
- Focuses on achieving specific, measurable results that drive business value
- Maintains robust security measures to protect data integrity and privacy
- Enables outcome-centric analytics by addressing data sparsity and sharing restrictions