The Challenge
You're managing multiple LLM integrations with duct tape — different SDKs, inconsistent error handling, no fallbacks, and unpredictable costs. Each new AI feature requires custom plumbing, and model outages take down entire features.
Our Approach
We build a unified orchestration layer that replaces fragmented integrations. One abstraction for routing, caching, fallbacks, and cost optimization across providers — so your team ships AI features, not infrastructure.
How We Deliver
Audit
Map existing LLM integrations, costs, and failure modes across your stack
Design
Architecture for intelligent routing, caching policies, and fallback strategies
Build
Implement the orchestration layer with provider abstractions and unified API
Optimize
Load test, tune caching, measure cost savings against baseline
Deploy
Production rollout with monitoring dashboards and operational runbooks
“We went from managing 6 different LLM integrations with duct tape to a unified platform that auto-routes, caches, and fails over gracefully.”
Tech Stack
Project Details
Prerequisites
- Cloud infrastructure
- API authentication system
- Monitoring stack
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