SIMPLE COMPARISON
A gateway connects models. Governora governs the whole route.
A basic LLM gateway manages calls that reach a model. Governora governs the larger execution: actor, decisions, evidence, tools, provider routing, outcome records and proof.
An LLM gateway answers where a model request should go. Governora's execution control plane first decides whether the work is authorized, which evidence and capabilities may be used, and whether a model call is necessary at all.
What a basic gateway does
A gateway gives teams one connection to AI providers.
- Centralize provider credentials.
- Forward provider-native requests.
- Handle retries or fallbacks.
- Log model use and cost.
What Governora adds
Governora creates an immutable plan from identity, risk, decisions, authorized evidence and declared capabilities. It can stop, await approval, retrieve gaps, return a local result or route residual reasoning.
Where MCP fits
The MCP surface can search and fetch knowledge, prepare tasks and record outcomes. In Claude or ChatGPT it remains a companion because the host—not Governora—controls the overall tool and model order.
HOW IT WORKS
Four clear steps.
Each step stays connected to the same execution. This makes authority, external work and the final outcome explainable.
- 01
Gateway question
Where should this request be sent?
- 02
Execution question
Who is authorized, which decisions apply and what evidence is missing?
- 03
Together
Governora governs the execution and uses the provider gateway only for model work that remains.
QUESTIONS
Simple questions. Direct answers.
What Governora does, what it does not do, and where it fits.
Is Governora itself an LLM gateway?
Yes. The current pilot exposes OpenAI Responses-compatible and Anthropic Messages-compatible gateway endpoints. The control-plane functions operate around that gateway path.
Does Governora choose models?
Yes. Eligible connections and models can be selected automatically from task, data classification, workspace scope and active routing policy, or explicitly for a governed request.
Is cached data trusted knowledge?
Not by itself. Trusted knowledge also needs an owner, source, approval, and clear limits on who may use it.
Map one governed AI execution.
We will map the actor, decisions, capabilities, evidence, external calls and proof with you.
Plan a pilot review →