Geniez AI
AI framework connecting LLMs to real-time mainframe data securely.
About Geniez AI
The Geniez GenAI Framework enables organizations to connect Large Language Models and AI agents directly to mainframe data in real-time using natural language interfaces. It provides secure, auditable access to mainframe systems like DB2, IMS, and VSAM without requiring data replication or ETL processes. The framework is designed for mainframe professionals including operations teams, developers, DBAs, and security specialists who need faster incident resolution and improved system observability. A key differentiator is its use of patented technology that relies strictly on existing mainframe security controls, with installation taking just hours. However, the tool appears narrowly focused on IBM Z/mainframe environments, which limits its applicability for organizations without mainframe infrastructure.
At a glance
- Company
- Geniez AI (est. 2024)
- Platforms
- Web, IBM Z, LinuxONE, API
- API
- Available
- Integrations
- Amazon Q, Various LLM providers, Enterprise AI agents and platforms
- Last verified
- June 2026
Who It's For
- •Mainframe operations teams and DBAs
- •Mainframe software developers
- •Security and compliance professionals
- •AI and data professionals seeking mainframe integration
- •Enterprise organizations running IBM Z systems
How It Works
- 1Provides direct, real-time access to mainframe data sources through secured connections
- 2Uses patented technology that leverages existing mainframe security controls
- 3Runs optimized software on zIIP engines to minimize performance impact
- 4Translates natural language queries into mainframe commands and data access operations
- 5Connects with various LLMs and AI agents running on-premises or in public cloud
- 6Delivers results through web UI with debugging, observability, audit and administration capabilities
How to Use Geniez AI
- 1Deploy the Geniez GenAI Framework (installation takes approximately one hour)
- 2Select desired AI assistants or 'Genies' for your use case (Operations, Security, Development, or Capacity Planning)
- 3Connect your preferred LLM or AI agent platform to the framework
- 4Query mainframe data sources using natural language through chat interfaces or code assistants
- 5Access results through web UI for debugging and administration
Key Features
- •Real-time direct access to mainframe data sources
- •Natural language query interface for technical data
- •Patented security architecture using mainframe controls
- •Support for multiple LLM providers and AI agents
- •Pre-built AI agent team (Operations Genie, Security Genie, Development Genie, Capacity Planning Genie)
- •Web UI with debugging, observability, audit and administration
- •Integration with Amazon Q and other enterprise AI platforms
- •Mainframe-optimized software running on zIIP engines
- •No prerequisites for deployment
Use Cases
- •Troubleshooting system issues and reducing mean time to resolution by querying SMF and system logs in natural language
- •Software development with code assistants extended to support mainframe job execution and error resolution
- •Security audits and vulnerability scanning of mainframe systems and permissions
- •Capacity planning by analyzing MIPS consumption and comparing job execution patterns
- •Enriching enterprise AI applications with real-time mainframe data without ETL or data replication
Pros & Cons
Advantages
- •Direct access to real-time mainframe data without ETL, data replication, or CDC complexity
- •Security-by-design approach using existing mainframe security controls instead of additional layers
- •Rapid deployment with installation in approximately one hour
- •Measured customer results showing $3M+ annual savings and 10,000+ hours gained through automation
Disadvantages
- •Narrowly focused on mainframe environments, making it inaccessible for organizations without IBM Z infrastructure
- •Appears primarily designed for large enterprises with existing mainframe expertise and operations
- •Limited information about pricing, licensing models, and cost structure for decision-making
Alternatives
See all Geniez AI alternatives →- Amazon Q Developer
- Cogram
- AI2sql
- Amazon Q
- IBM Z GenAI Enterprise Edition
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Frequently Asked Questions
What is Geniez AI?
The Geniez GenAI Framework enables organizations to connect Large Language Models and AI agents directly to mainframe data in real-time using natural language interfaces. It provides secure, auditable access to mainframe systems like DB2, IMS, and VSAM without requiring data replication or ETL processes.
How much does Geniez AI cost?
Geniez AI uses custom pricing — contact the vendor for a quote.
Is Geniez AI free?
Geniez AI is a paid tool and does not offer a free plan.
What are the best Geniez AI alternatives?
Popular Geniez AI alternatives include Amazon Q Developer, Cogram, AI2sql.
What is Geniez AI used for?
Geniez AI is commonly used for Troubleshooting system issues and reducing mean time to resolution by querying SMF and system logs in natural language, Software development with code assistants extended to support mainframe job execution and error resolution, Security audits and vulnerability scanning of mainframe systems and permissions.
Does Geniez AI have an API?
Yes, Geniez AI offers an API for developers.
What platforms does Geniez AI support?
Geniez AI is available on Web, IBM Z, LinuxONE, API.
Information Accuracy
Please note: While we regularly update all tool information including descriptions, features, pricing, and other details, this information may change over time as tools evolve and update their offerings. For the most current and accurate information, we recommend visiting the official website directly. Our goal is to provide you with comprehensive and up-to-date information to help you make informed decisions.