Oracle AI Database Private Agent Factory
Deploy governed AI agents where your enterprise data already lives. Build, test, and run private agents that use Oracle Database, enterprise documents, APIs, and approved models while keeping security, identity, and deployment control with your organization.
What it is
Private Agent Factory is a deployable platform for building, testing, governing, and operating AI agents across Oracle Database, enterprise content, APIs, and approved model providers.
Built for AI platform teams, database teams, security teams, AI centers of excellent, and business units that need private agents in production.
Deployment paths
Deploy in OCI, on-premises, or supported multicloud environments. Choose OCI Marketplace for a fast start, or download the package for environments where you need more control.
Move from AI pilot to governed production
Private agents near enterprise data
Build agents that work with Oracle Database, enterprise documents, approved repositories, APIs, and operational systems without unnecessary data movement.
Grounded answers with traceable sources
Use trusted knowledge sources, source-linked responses, and retrieval controls so business users can verify where answers came from.
Workflow automation across systems
Connect agents to Select AI, PL/SQL, REST APIs, OpenAPI services, and MCP tools to assist real business processes, not just answer questions.
No-code builder for business workflows
Give teams a visual canvas, reusable templates, live testing, and workflow nodes so they can design agent experiences with platform governance in place.
Governance built into the lifecycle
Use SSO, role management, tracing, evaluation, and observability to improve quality before agents move into production.
Model and deployment flexibility
Use supported model providers, import and export Agent Spec configurations, and deploy in OCI, on-premises, or other supported controlled environments.
Deep Data Research Agent
Five Alarms, 2,583 Pages, One DecisionUsing six public NASA documents, this blog recreates the Apollo 11 computer-alarm retrospective with Oracle Private Agent Factory’s Deep Data Research Agent. See how it connects evidence across 2,583 pages, reconciles conflicting records, and produces source-linked findings that business users can inspect. The example offers a practical model for investigating complex, ad hoc business questions.
Trending Blogs
- Learn MoreEnterprise FAQ
- Try it outMCP, Orchestration, and Multi-agent Workflows
- Read the announcementIntroducing Private Agent Factory
- Real workflowsScalable, Auditable Workflows
- Real applicationsE-Business Suite Use Cases
How teams use Private Agent Factory
Create governed agent workflows
Agent Builder gives teams a no-code canvas for connecting models, enterprise knowledge, Oracle Database, Select AI, APIs, and MCP tools. Build, test, and reuse workflows with governance in place from the start.
Turn enterprise knowledge into trusted answers
Knowledge Agent delivers enterprise-ready RAG using trusted content from SharePoint, websites, file systems, Amazon S3-compatible sources, and other approved repositories. Answers are grounded in source-linked knowledge users can verify.
Analyze structured business data
Data Analysis Agent helps users explore Oracle Database tables, ask natural-language questions, understand results, and create visualizations with less manual work.
Synthesize complex research from enterprise files
Deep Data Research Agent helps teams investigate complex questions across shared files and enterprise documents. It retrieves relevant content, synthesizes findings, and produces cited answers.
Add reusable business context to Oracle Database
AI Enrichment helps teams add and manage annotations for Oracle Database objects, making business context easier to reuse, govern, and apply across agents and applications.
Why enterprises choose Oracle for private agents
Private Agent Factory is built for organizations that need AI agents to use sensitive enterprise data, pass security review, and operate in controlled environments.
Control data movement
Keep agents close to Oracle Database and approved enterprise sources instead of copying sensitive data into unmanaged AI tools.
Use systems you already run
Connect Oracle Database, documents, APIs, PL/SQL, MCP tools, and business applications so agents can work across real enterprise workflows.
Govern before production
Use SSO, role controls, grounded responses, traceable citations, masked tracing, and evaluation workflows before agents reach users.
Keep model choice open
Use supported model providers and reusable Agent Spec configurations while keeping platform teams in control of approved options.
Operationalize beyond demos
Support production adoption with testing, observability, export and import, tracing, optimized retrieval, and containerized deployment options.
Deploy on your terms
Run in OCI, on-premises, or other supported environments where privacy, residency, and operational requirements demand control.
Enterprise Use Cases
Contract intelligence agent connected to ERP, contract management, purchase order, and invoice systems.
Help teams compare invoice details against contract terms, service scope, vendor records, spend limits, and exception policies. The result is faster review, better auditability, and stronger control before payment decisions are made.
Invoice review agent connected to ERP, integration services, and collaboration platforms.
Review high-volume billing and invoice data before cycles close. The agent can flag unusual amounts, missing information, unexpected customer or product combinations, and period-over-period deviations while human reviewers stay in control.
Research agent connected to structured data, runbooks, tickets, and enterprise knowledge.
Help operations teams investigate complex issues by searching approved knowledge sources, surfacing relevant evidence, and recommending next steps. Teams can shorten triage cycles while keeping experts responsible for final decisions.
What's new in Private Agent Factory (v26.7.0)
Build multimodal, context-aware agents
Help teams build agents that understand images, web content, and enterprise documents, and retain useful context across conversations with Oracle Agent Memory.
Key capabilities:
- Oracle Agent Memory
- Image Input and Vision LLM nodes
- URL Crawler and Deep Data Research nodes
- Data Analysis Agent and Oracle Database Tools nodes
- Expanded model providers, including Anthropic, Azure OpenAI, OpenRouter, and OCI Dedicated AI Cluster
Collaborate securely across agents and teams
Delegate work to trusted external agents with the Agent-to-Agent (A2A) protocol, and govern access to shared resources with fine-grained identity and access management.
Key capabilities:
- Agent-to-Agent (A2A) protocol support
- External Agent node in Agent Builder
- Local users, groups, and role management
- API keys for integrations and automation
- Centralized resource access management
Deploy on your platform of choice
Run Private Agent Factory where it fits your infrastructure strategy, with more Linux distributions, a pre-built container image, and simplified day-to-day administration.
Key capabilities:
- Ubuntu and Red Hat Enterprise Linux support
- Pre-built image on Oracle Container Registry
- Simplified command-line administration
- Air-gapped environment support
- Included with Oracle Base Database Cloud@Customer