WILMINGTON, DE — EnterpriseDB (EDB) has unveiled a significant expansion to its EDB Postgres® AI (EDB PG AI) platform, introducing new capabilities designed to help enterprises unify data, accelerate artificial intelligence (AI) deployment, and migrate away from restrictive legacy and single-purpose systems.
The latest release focuses on enhancing data sovereignty, hybrid deployment flexibility, and AI operational efficiency—key priorities as organizations seek to integrate generative AI into real-world business environments.
According to EDB’s Sovereignty Matters research, companies that treat data and AI sovereignty as mission-critical achieve up to five times higher ROI from their AI initiatives and are twice as likely to scale projects from pilot to production.
“Enterprises don’t need more tools. They need a platform built for the hybrid, sovereign reality they already operate in,” said Nancy Hensley, chief product officer at EDB. “EDB PG AI meets customers where they are, with the flexibility to deploy models on their preferred infrastructure, and a clear path off of legacy systems and cloud lock-in—all while keeping control in their hands.”
Advancing Enterprise AI Integration
The updated EDB PG AI platform introduces expanded features that streamline generative AI (GenAI) workflows. The new AI Pipelines capability enables automated background data preparation—including document parsing, summarization, and chunking—allowing enterprises to maintain real-time, searchable knowledge bases without interrupting live operations.
Enhancements to EDB PG AI Factory and Agent Studio further simplify model management and application development. With support for the Model Context Protocol (MCP), Agent Studio can now connect directly to hundreds of external systems—including GitHub, Slack, and enterprise databases—automatically managing connections to improve agent responsiveness and scalability.
Simplified Migration and Hybrid Cloud Flexibility
EDB’s upgraded migration tools are designed to accelerate modernization efforts and strengthen data control. An AI Copilot now supports Oracle and Amazon Aurora migrations, providing guided workflows that reduce complexity and protect sensitive data within on-premise or hybrid environments.
The company said these enhancements are part of its broader mission to deliver “true hybrid data sovereignty,” helping enterprises avoid vendor lock-in while managing data across diverse infrastructures.
By combining open-source Postgres technology with advanced AI capabilities, EDB continues to position itself as a leader in hybrid data management and AI integration—offering enterprises a faster, more secure path to deploying intelligent applications at scale.
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