The Red Hat Ecosystem Catalog is the official source for discovering and learning more about the Red Hat Ecosystem of both Red Hat and certified third-party products and services.
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Leonardo Forge2Know - A suite to address the challenges of integrated Big Data analytics and Artificial Intelligence governance
Structured with 2 inter-operating but independent products, Forge2Know integrates modern technologies and proprietary modules, designed to ensure security, scalability and interoperability environments.
DataPlatform: provide tools to speed and simplify data governance, data ingestion and big data processing and presentation.
AIEngine: a platform for the governance of AI models in terms of Responsible AI, Repository (Model/Dataset), Serving, Active Monitoring, Experience
Collector and Benchmark Evaluation.
By integrating them, you get a complete and scalable platform that enables you to transform data into strategic value, optimizing governance, processing and adoption of artificial intelligence with high standards of security and interoperability.
A ready-to-use multi tenant secure platform for ingesting, storing and retrieving structured, semistructured and unstructured data of any size
Providing functions for real time and batch elaboration leveraging in-memory execution engine and horizontal scalability, parallel processing and also through vector db. Publish-subscribe capabilities, event management, scheduling and workload management as well as visual ETL (Extract Transform Load) and a Secure Query Engine further empower data processing capabilities.
Implementing a single, secure and centralized reference point for data control. By leveraging search and discovery tools and connectors to extract metadata from any data source, it simplifies data lineage, data protection, analysis, and pipeline management, as well as accelerates ETL processes.
Set of tools and best practices aimed at developing and maintaining Machine Learning (ML) models reliably and efficiently.
A module for visualizing and interacting with data through graphical data quality interfaces and business intelligence tools: tables, charts and other types of representations
The system ensures accuracy, maintaining context and ensuring ethical and regulatory compliance through a processing engine, an orchestration framework, an information retrieval and enrichment pipeline, and monitoring. It includes the following features: Cognitive Endpoints, AI Pipeline, Agentic Framework, Feedback, Model Repository & Marketplace, AI Serving, AI Monitoring.
Red Hat certified products are tested to meet Red Hat’s criteria and supported as defined in the Red Hat Collaborative Support Process.
Partner validated products are tested by Red Hat Partners and supported as defined in the Red Hat Third Party Component Policy.