AI vs. Your Mainframe.
We Make Them Friends.
We integrate AI into your messy legacy workflows and guarantee it follows strict compliance rules (the governance).
The Compatibility Gap
The Reality: Your core business runs on 20-year-old ERPs, databases, and on-premise servers. Modern AI models live in the cloud via APIs.
Trying to force a connection often breaches security protocols or results in fragile, "spaghetti code" integrations that break with every update.
"Vibe coding" solutions ignore these complexities, leaving you with a cool demo that fails in production because it can't talk to your SQL database securely.
Why Ad-Hoc Integration Fails:
- ×Data Leaks through insecure API calls
- ×Compliance violations (sending PII to public models)
- ×Inability to handle legacy data formats (COBOL, SOAP)
- ×Lack of audit trails for AI decisions
- ×Performance bottlenecks crashing old servers
Healthcare Records Modernized
The Challenge: A massive healthcare provider had 15 years of patient data locked in on-premise SQL clusters. They wanted to use GenAI for doctors to query records, but cloud-based models couldn't securely access the local mainframes without violating HIPAA.
The Jini Solution: We built a "Governance Gateway"—a locally deployed, air-gapped translation layer that sanitizes queries before they touch the LLM and executes SQL strictly within the secure perimeter.
Governed Integration Layer
We build the secure bridge between the Future and the Past.
Our middleware automatically identifies and redacts sensitive PII before it ever touches an AI model, ensuring total data sovereignty.
We fluently speak Mainframe, SQL, and SOAP. We translate modern REST/gRPC calls into the languages your legacy systems understand.
Every AI action is logged, versioned, and traceable. You know exactly why the AI did what it did, keeping auditors happy.
Modernize Without Rewriting
Unlock the value of your legacy data with secure AI integration.
Integrate Your Systems