Systems AI Integration
Seamlessly embed modern generative AI and LLM APIs into your existing legacy tech stack.
Operational Problems Solved
Bridge modern AI capabilities into your existing Java Spring, .NET, Django, or legacy PHP systems without requiring a risky total architecture rewrite.
System Architecture & Execution Flow
DETERMINISTIC PIPELINELegacy Request
Legacy application sends standard REST or SOAP request to AI Gateway.
Sanitization & Cache
Checks Redis semantic cache to return instant cached responses for duplicate queries.
Model Routing
Routes request to fastest/cheapest provider with automatic failover.
Stream & Record
Streams response back to legacy UI while recording metrics.
What We Deliver
Human-in-the-Loop Review Points
- Real-time latency alerts and provider health telemetry accessible by DevOps team
Data Privacy & Security Boundaries
- Outbound data filtering prevents sensitive internal IDs or tokens from leaking to external APIs
Technical Questions
Can this work if our backend is written in older Java or .NET?
Yes. We build lightweight RESTful microservices that interface with your existing applications over standard HTTP JSON protocols, requiring minimal modifications to your core codebase.
Scope a Production Pilot
We typically deliver a functional staging proof-of-concept for this capability within 2–3 weeks.
Recommended Tech Stack
Ready to scope your Systems AI Integration?
Share your current tech stack and dataset requirements. We will prepare an architecture proposal within one business day.
Zero obligation • Direct technical conversation with engineers • NDA upon request
