Rockfish modules

Rockfish Platform is designed to seamlessly integrate into organizations ML/Ops pipelines. Whether you need to continuously train models or generate synthetic data on demand, Rockfish adapts effortlessly to your unique business needs, driving innovation while safeguarding data privacy. Available as a fully managed cloud service or deployable within your private cloud, Rockfish provides the scalability and security required to operationalize your data at enterprise scale.

At the core of Rockfish’s transformative capabilities are its powerful, modular components. These modules work in tandem to enable seamless data onboarding, model training, synthetic data generation, and quality assessment—all within a streamlined workflow that adapts to your evolving requirements. Here’s how Rockfish empowers your data journey:

Rockfish Modules:

Onboarding: Start by transforming your raw datasets into actionable workflows with Rockfish’s streamlined onboarding module. This one-time setup process simplifies the complex task of preparing your data, enabling the creation of tailored workflows that underpin the entire platform experience.

Train: With your workflow in place, Rockfish takes over continuous data ingestion and model training. This module allows you to easily manage real-time training pipelines, with all models saved securely in the Model Store for future use, ensuring your models evolve in sync with your data.

Generate: After training your models, the Generate module empowers you to produce synthetic data tailored to your specific business outcomes. Whether scaling data for testing or simulating rare events, Rockfish’s advanced generation capabilities ensure that the data you generate aligns with the goals of your enterprise.

Synthetic Data Assessor (SDA): Quality is paramount, and Rockfish’s built-in Synthetic Data Assessor ensures that your generated data meets your organization’s highest standards. This module evaluates your data at every step, validating that the synthetic data accurately mirrors the original dataset’s properties and complies with your business’s quality expectations.