AI Runtime for Mainframes
Bring AI into the transaction.
ZInfer is building a governed runtime for bringing AI into existing mainframe applications—without rewriting the business logic they already run.
Mainframe Applications ZInfer AI Models
Your mainframe was built before generative AI.
It shouldn't have to be rebuilt because of it.
Mainframes still execute some of the world's most critical business transactions. Their applications contain decades of proven business logic. ZInfer is being built to introduce an AI runtime between those applications and modern models — allowing organizations to add intelligence without redesigning the systems that already run their business.
Don't replace the transaction.
Extend it.
AI wasn't designed for transaction systems.
Directly wiring decades-old application logic to rapidly changing AI models creates a fragile architecture. Every integration duplicates controls, couples business logic to a specific provider, and breaks when the model changes.
Today
- Tight coupling
- Provider dependencies
- Duplicated controls
- Inconsistent governance
- Changing APIs
- Model-specific application logic
With ZInfer
ZInfer becomes the stable runtime abstraction. Applications invoke one consistent interface — models, providers and controls evolve behind it.
AI should be a runtime capability.
Mainframe applications should request intelligence through a consistent runtime abstraction — while policy, context, model selection, validation and audit remain outside the application's business logic.
APPLICATION
ZINFER
AI
The ZInfer Runtime
One runtime between your applications and AI.
ZInfer is not a direct wire from COBOL to a model API. Every request passes through a governed pipeline before inference — and a validated path back.
Mainframe Application
request initiatedCONTEXT
Transaction context prepared
POLICY
Enterprise AI policy evaluated
DATA CONTROL
Sensitive fields protected
MODEL ROUTING
Eligible model selected
INFERENCE
Request processed
VALIDATION
Response contract verified
AUDIT
Decision trail recorded
STRUCTURED RESPONSE
Application response prepared
Mainframe Application
01 / Invoke
AI from the mainframe applications you already run.
ZInfer is being designed to let existing mainframe application workloads request AI capabilities through a consistent runtime interface.
02 / Govern
Policy before inference.
Enterprise controls should apply before an AI request reaches a model. ZInfer is being designed to make governance part of the runtime path.
IDENTITY
passed
AUTHORIZATION
passed
DATA POLICY
passed
MODEL POLICY
passed
03 / Route
Your applications shouldn't care which model wins.
AI models and infrastructure will evolve rapidly. Mainframe application logic should not have to evolve with them.
Change the model.
Not the application.
04 / Validate
AI responses become application responses.
Transactional applications need predictable structures, not arbitrary model output. ZInfer is being designed to validate and transform AI responses before they return to application flows.
05 / Observe
Every inference leaves a trail.
ZInfer is being designed to provide visibility into runtime requests, policy decisions, routing events, model responses and validation outcomes.
Runtime Event Stream
Illustrative
Concept Demo
AI, invoked from the transaction itself.
See how an existing CICS application could invoke ZInfer to request a governed AI explanation while preserving the transaction experience.
CICS APPLICATION
ZINFER
POLICY + CONTEXT
ENTERPRISE AI
VALIDATED RESPONSE
Built for systems that cannot simply be rewritten.
ZInfer is being designed initially for IBM Z environments and mission-critical mainframe workloads where reliability, governance, compatibility and operational control matter as much as model capability.
Governance
AI without losing control.
AI cannot become part of mission-critical transaction processing by bypassing the controls surrounding those systems. ZInfer is being designed to make governance part of the inference path rather than an afterthought.
IDENTITY
POLICY
DATA PROTECTION
MODEL CONTROLS
VALIDATION
AUDIT
OBSERVABILITY
Request
The Next Mainframe AI Layer
The mainframe doesn't need another copilot.
It needs an AI runtime.
From transaction to intelligence — and back.
01
INVOKE
The mainframe application invokes ZInfer.
02
GOVERN
ZInfer prepares context and evaluates enterprise policy.
03
INFER
The runtime selects an eligible AI model and processes the request.
04
RETURN
The response is validated and returned to the application in a predictable structure.
Models will change.
Your applications shouldn't have to.
ZInfer separates mainframe business logic from AI model infrastructure so organizations can evolve their AI strategy without repeatedly redesigning core applications.
Bring intelligence into your core systems.
We're building ZInfer for organizations exploring how governed AI can become part of mission-critical mainframe application flows.