Resources
Understand the layer before you build on it.
Plain explanations of the concepts behind the platform: what an AI gateway is, how routing works, and how companies give agents real context.
How this section grows
We publish when there is something worth saying, not on a schedule. The topics below are the questions we are asked most often; each becomes a full guide, and the product documentation remains the reference for implementation detail.
What we are writing about
- ORVYX AIWhat is an AI gateway?The problem a gateway solves, what it sits in front of, and when a company needs one rather than a direct provider integration.Learn more
- ORVYX AIHow AI model routing worksRouting by cost, latency and capability, how fallback chains are configured, and what happens when a provider degrades.Learn more
- ORVYX AIHow to reduce LLM infrastructure costsWhere the money actually goes across a model estate, and which levers change the total without changing the product.Learn more
- ORVYX AIOpenRouter alternatives for enterprisesWhat changes when model access has to be governed, attributed and deployed inside a company's own perimeter.Learn more
- ORVYX AgentWhat are enterprise AI agents?The difference between a workflow and an agent, and what an agent needs before it can be trusted with real work.Learn more
- ORVYX BrainHow to give AI agents company contextWhy a capable model still fails without organisational context, and how a knowledge layer supplies it under permissions.Learn more
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