Operationalize AI in your Agency with Rockfish’s Synthetic Data Platform

Rockfish Data is the industry’s first outcome-centric synthetic data platform purpose built for operationalizing AI. Rockfish Data’s foundational innovation is based on years of research at Carnegie Mellon University. Operational data is the backbone of decision making in the public sector. However, they are stymied by data bottlenecks impacting the operationalization of AI workflows. These data silos can result from data sparsity, sharing constraints, class imbalance, confidentiality, compliance or regulatory reasons. The status quo is resulting in lack of collaboration, inaccurate ML models and incomplete analysis.

Applications of synthetic data and the Rockfish solution include cyber and electronic warfare such as offensive and defensive cyber operations such as training & enhancing cyber warfare capabilities, simulating battlefield & cyber scenarios, and enhancing intelligence & counter-intelligence efforts. Moreover, they are also applicable to multi-agency data and AI collaboration, anomaly detection, predictive maintenance, supply chain & logistics, technical training, mission and scenario planning, digital twins, vendor evaluation and machine learning training and testing.

The Rockfish Data software platform is purpose built for operational data such as time series and transactions to generate synthetic data for AI and analytics workflows. It supports flexible deployment models including SaaS, on-premise, and GovCloud. The Rockfish solution works as a shadow pipeline and this platform is designed to be an integral part of every data and MlOps pipeline. Source data can be ingested from a variety of sources and the generated synthetic data can be uploaded or saved into any of these as well.

The Generative AI based Rockfish platform takes the burden away from the user while generating high-fidelity and privacy-compliant synthetic data with data quality checks built-in. The user can specify domain specific requirements, constraints and a desired storyboard and the platform is designed to ingest data on a continuous or periodic basis. The multi-model and decoupled architecture requires just a one-time onboarding and enables continuous training of the purpose-built Rockfish GenAI models and empowers the user to generate synthetic data as and when needed.