EDB POSTGRES AI · AGENT FACTORY
Build AI agents on the data you own.
Complete Postgres®-native environment—design, test, and deploy sovereign AI agents from concept to production in weeks.
EDB empowers the architects of the modern enterprise
Your AI pilots aren’t reaching production.
Building production-ready AI agents on Postgres means assembling fragmented tools, writing custom integration code, and managing a widening gap between what developers prototype and what engineering can ship. Teams spend months on data pipelines, vector database management, and model hosting infrastructure—instead of on the agent logic that creates value. Meanwhile, enterprise data scattered across systems stays locked away from the agents that need it.
From idea to deployed agent in three steps.
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1 — DESIGN
Drag-and-drop canvas
Build multi-agent workflows on a visual canvas powered by open source Langflow. Full Python extensibility for complex logic. 700+ ecosystem integrations.
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2 — PREPARE
No manual ETL. No stale context.
Automated pipelines continuously retrieve, clean, chunk, embed, and tag enterprise data, from documents to databases and live systems, into agent-ready knowledge bases.
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3 — IMPLEMENT
Enterprise search
Agents reason against your data where it already lives. Native vector engine stores and indexes all AI data inside your Postgres environment to power semantic and hybrid search.
PROOF IN PRODUCTION
weeks to production vs. DIY cloud approaches
lower development effort vs. DIY cloud
lower query latency vs. Databricks
more accurate vector search vs. MongoDB
Applying AI agents to modernize operations.
“By entrusting tasks that were previously done manually to AI agents, we believe we can streamline operations in the telecommunications industry…. From rapid QA to close collaboration with global engineers, we see EDB as a highly attentive consulting team”
— Shota Takano, Manager, Innovation and Technology, NTT East
Faster production than any previous AI initiative.
EDB Sovereign Assurance Program
We don’t just hand you infrastructure and wish you well.
We sell you the system. And then we ensure it runs. With included services blocks and a technical account manager, the EDB Sovereign Assurance program is a commitment to qualifying customers to provide the assistance you need for your sovereign deployment to be operational in weeks, not months.
Key capabilities
Where Agent Factory lives in the platform.
Agent Factory spans the agentic workload layer with platform services for security, governance, and data integration at its foundation.
Deploy sovereign AI anywhere.
Run AI agents on premises or in public cloud, sovereign datacenters, or air-gapped environments. Your agents operate on your infrastructure, inside your security perimeter.
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RELATED CAPABILITIES
Data and AI Governance
Every agent that Agent Factory builds operates under EDB Postgres AI’s database-layer governance framework. Purpose-declared, execution-enforced. Agents stay within their defined scope.
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RELATED CAPABILITIES
Agentic Database
Your agents need an autonomous, self-optimizing data engine underneath. Agentic Database embeds intelligence directly into Postgres.
Resources
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Technical Brief
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Solution Brief
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Ready to build and deploy your AI agents?
Close the gap between prototype and production. Agent Factory is the fastest path to deployed AI agents on the data you already own—sovereign by design, production ready from day one.
Frequently asked questions
EDB Postgres AI Agent Factory is a complete Postgres-native platform for building, testing, and deploying sovereign AI agents and GenAI applications. It combines a a visual agent IDE (Agent Studio, built on open source Langflow), automated AI data pipelines, native vector search, and flexible model serving in a single environment that deploys on premises, in public cloud, or air gapped.
No. Agent Studio provides a visual drag-and-drop canvas that lets any developer design, test, and deploy agent workflows without writing complex integration code. McKnight Consulting Group found that EDB PG AI delivers 67% lower development effort compared to DIY cloud approaches. Teams new to agent development use the visual canvas; experienced engineers use full Python extensibility and 700+ ecosystem integrations.
All AI data—vectors, embeddings, knowledge bases—lives natively within the Postgres environment the enterprise already governs. Agents operate directly next to the data with no external data movement, no third-party AI service, and no new security boundary. The governance controls protecting operational data automatically extend to AI data.
McKnight Consulting Group found that EDB PG AI compresses time to production from 28 weeks to 9 weeks—3x faster than DIY cloud solutions. Agent Studio eliminates the prototype-to-production gap because the development environment and production runtime are the same: Every flow built in Agent Studio is a deployable REST API endpoint from day one.