Oracle AI Database Private Agent Factory: Turning Enterprise Data into Secure AI Agents
- AiTech
- 1 day ago
- 4 min read
Oracle AI Database Private Agent Factory: Turning Enterprise Data into Secure AI Agents

Enterprises want AI, but they don’t want chaos.They want control, security, data privacy, predictable cost, and real business value—not experiments running outside governance.
This is where Oracle AI Database Private Agent Factory fits in.
Now available on Oracle Cloud Marketplace, this platform allows organizations to build, test, and deploy AI agents directly on top of Oracle Database and OCI—without writing code and without sending sensitive data outside the enterprise boundary.
What Is Oracle AI Database Private Agent Factory?
Oracle AI Database Private Agent Factory is a no-code AI agent platform that runs natively on Oracle Cloud Infrastructure (OCI) and integrates directly with Oracle Database.
Instead of stitching together multiple AI tools, scripts, and services, this platform gives teams a single controlled environment to:
Build AI agents
Connect them to enterprise data
Test responses
Secure access
Deploy at scale
All of this happens inside the Oracle ecosystem, which is critical for regulated and data-sensitive environments.
In simple terms:It helps enterprises turn their data into working AI agents, safely and quickly.
What Problem Does This Solve?
Most AI initiatives fail because:
Data is scattered across systems
Security teams block external AI tools
Development takes too long
Costs become unpredictable
There is no clear ownership or governance
Oracle AI Database Private Agent Factory solves this by bringing AI to where the data already lives—inside Oracle Database.
Key Features
Here’s what the platform actually provides in practice:
Ready-to-use AI agents for common enterprise use cases
Visual drag-and-drop interface to build custom agents
Built-in testing console to validate responses in real time
Retrieval-Augmented Generation (RAG) using enterprise data
Dynamic knowledge base updates without redeployment
Integration with Oracle SQL, analytics, and vector search
Ability to combine LLMs, prompts, tools, data sources, and agents
Strong security with SSO, roles, and access controls
Export and reuse agent definitions using YAML
No scripts. No glue code. No external AI platforms required.
Why This Matters to Enterprises
This platform is designed for production use, not demos.
Key Benefits
Data never leaves the Oracle environment
AI agents operate on trusted, governed data
Faster deployment compared to custom AI builds
Reduced dependency on specialized AI engineers
Predictable operational and infrastructure costs
Built for scale and long-term use
This is especially important for organizations that already rely heavily on Oracle Database.
Who Can Use This Platform?
This is not limited to data scientists.
Ideal Users
Application developers
Database administrators (DBAs)
Platform and cloud teams
Analytics teams
Enterprise architects
Business teams with governed data access
Even non-technical users can build agents using the visual interface, while IT teams maintain control.
How It Fits into an Existing Environment
In a typical enterprise setup:
Oracle Database holds transactional and analytical data
OCI provides compute, security, and networking
AI agents sit on top of the database
Applications or users interact with these agents
Use cases include:
Asking business questions in natural language
Automating reports and insights
Intelligent search across enterprise documents
AI-assisted data analysis
Internal support and knowledge agents
Everything stays inside the enterprise boundary.
Industries That Benefit the Most
This offering is clearly aimed at enterprise and regulated industries, including:
Banking and Financial Services
Healthcare and Life Sciences
Government and Public Sector
Telecommunications
Manufacturing
Retail and Supply Chain
Insurance
Any organization with large Oracle data estates and strict compliance needs is a strong candidate.
Installation and Setup Process
The deployment process is straightforward:
Subscribe to Oracle AI Database Private Agent Factory from Oracle Cloud Marketplace
Deploy it into your OCI tenancy
Connect it to Oracle Database (Autonomous or Exadata)
Configure identity, roles, and access
Build or deploy agents using the UI
Test responses
Integrate agents with applications or users
No custom infrastructure setup is required beyond OCI basics.
Cost Model
Oracle follows a transparent, enterprise-friendly cost model:
Platform usage billed via OCI
Database usage based on existing Oracle Database pricing
Compute and storage billed as OCI services
No per-prompt surprise pricing like public AI APIs
No external AI platform fees
If you already run Oracle Database and OCI, this becomes a cost-efficient extension, not a new cost center.
How This Compares to AWS, Azure, and Google Cloud
Other clouds do offer AI agent tooling, but the approach is very different.
Capability | Oracle AI Database Private Agent Factory | AWS | Azure | Google Cloud |
Native DB-centric AI agents | Yes (Oracle DB) | No | Partial | No |
No-code agent builder | Yes | Limited | Limited | Limited |
Built-in RAG with enterprise DB | Yes | Custom build | Custom build | Custom build |
Data stays inside DB | Yes | Often external | Often external | Often external |
Integrated security & roles | Yes | Fragmented | Fragmented | Fragmented |
YAML agent portability | Yes | No | No | No |
Target audience | Enterprises | Developers | Developers | Data teams |
Equivalent Services (Not Exact Matches)
Amazon Web Services: Amazon Bedrock + custom RAG pipelines
Microsoft Azure: Azure OpenAI + Copilot Studio
Google Cloud: Vertex AI Agent Builder
All of these require more custom integration and often move data outside core databases.
Oracle’s approach is database-first, which is unique.
Why Customers Will Buy This
Customers will choose Oracle AI Database Private Agent Factory because:
They already trust Oracle with their data
They want AI without compliance headaches
They want speed without complexity
They want AI that works on real data, not copies
They want predictable cost and enterprise support
This is not an AI experiment platform. It is an enterprise AI factory.
Final Thoughts
Oracle AI Database Private Agent Factory represents a shift in how enterprises adopt AI.
Instead of moving data to AI tools, Oracle brings AI to the data.
For organizations running Oracle Database, this is one of the most practical, secure, and scalable ways to deploy AI agents in real production environments—without rewriting systems or risking data exposure.
Official Reference Links
Oracle AI Database Private Agent Factory
Oracle Cloud Marketplace listing (official):https://www.oracle.com/cloud/marketplace/
Oracle AI and Generative AI services overview:https://www.oracle.com/artificial-intelligence/
Oracle Database AI capabilities (Vector Search, OML, SQL AI):https://www.oracle.com/database/ai/
Oracle Database & AI Integration
Oracle Autonomous Database overview:https://www.oracle.com/database/autonomous-database/
Oracle Exadata Database Service:https://www.oracle.com/database/exadata/
Oracle Vector Search documentation:https://www.oracle.com/database/vector-search/
Oracle Machine Learning (OML):https://www.oracle.com/database/machine-learning/
OCI Security & Identity
OCI Identity and Access Management (IAM):https://www.oracle.com/cloud/security/identity-access-management/
OCI Security overview:https://www.oracle.com/security/cloud-security/
OCI Pricing & Cost Model
Oracle Cloud pricing overview:https://www.oracle.com/cloud/pricing/
Autonomous Database pricing:https://www.oracle.com/database/autonomous-database/pricing/
Comparable AI Platforms (For Comparison Section)
Amazon Bedrock (AWS):https://aws.amazon.com/bedrock/
Azure OpenAI & Copilot Studio:https://learn.microsoft.com/azure/ai-services/openai/https://www.microsoft.com/copilot
Google Vertex AI & Agent Builder:https://cloud.google.com/vertex-aihttps://cloud.google.com/agents