LLM Platforms
Production Pattern

Xenith LLM Platform

Run any LLM at enterprise scale.

If you're running AI at scale, you're paying for the wrong model on the wrong task. Xenith LLM Platform sits between your application and every LLM provider, routing intelligently, caching aggressively, and optimising costs automatically. We set it up. We manage it. You get the savings.

Typical connect: 1 week
Scoped to your deployment

Routes across GPT-4o, Claude 3.5, Gemini, Llama, and Mistral. Best model for every task.

Deployed as a scoped engagement for your stack - not a self-serve trial or live sandbox.

What a typical engagement delivers

  • Your existing LLM traffic flowing through the platform
  • Cost dashboard showing spend by model, endpoint, and team
  • Routing rules configured for your use cases
  • Semantic cache live (typically cuts 20-35% of API calls immediately)

Typical connect: 1 week - built into your environment, handed over as a production system.

What's included

Typical engagement deliverables

Scoped to your stack and compliance needs. We deploy the working system into your environment and hand over runbooks - not a sandbox login.

1

Your existing LLM traffic flowing through the platform

2

Cost dashboard showing spend by model, endpoint, and team

3

Routing rules configured for your use cases

4

Semantic cache live (typically cuts 20-35% of API calls immediately)

5

Slack alert set up for spend anomalies

How it works

  • Intelligent routing: cheap models for simple tasks, powerful models for complex ones
  • Semantic caching: identical or near-identical queries served from cache
  • Cost optimisation engine with real-time spend dashboard
  • Prompt versioning and A/B testing built in
  • Observability: latency, cost, and accuracy per model, per endpoint

Who this is for

AI product teams spending too much on OpenAI and wanting 40-60% cost reduction
Engineering teams managing multiple LLM integrations from one place
Organisations needing fallback routing when a provider goes down
Teams running prompt experiments and needing structured versioning

Want Xenith LLM Platform in your environment?

Book a 30-minute call. We'll map your use case, confirm fit, and outline a deployment timeline - no self-serve trial, no pitch deck.

Typical connect: 1 week from kickoff.