Configure gateway connections and browse the connector catalog.
Configure the AI providers and models the gateway can access.
Manage the credentials the gateway uses to authenticate with LLM providers.
Expose HTTP endpoints that forward requests to an LLM Provider.
Apply guardrails, prompt enrichment, and rate limiting to a route.
Expose corporate APIs as MCP Servers that AI agents can consume.
Register AI agents with OAuth credentials and authorization scopes.
Maintain the scope catalog reused by Routes, MCP Servers, and AI Agents.
Configure the gateway's global authentication and integration parameters.
Welcome to the Sensedia AI Gateway user guide.1
Sensedia AI Gateway is the intelligent layer designed to govern, secure, and scale the use of Artificial Intelligence and agents. It works independently from your API infrastructure and gives you a single control point for every interaction between your systems and large language models (LLMs).
As AI adoption grows across companies, new challenges appear that traditional gateways were not designed to solve. Different teams may consume different models without coordination, costs become unpredictable, data exposure risks increase, and compliance becomes harder to ensure.
Sensedia AI Gateway addresses these issues as a dedicated control layer for AI traffic, independent from the API Gateway infrastructure you already use.
Key benefits:
With Sensedia AI Gateway, you turn fragmented AI consumption into a centralized, secure operation with predictable costs.
LEARN MORETo understand the role of AI Gateway in your enterprise AI strategy, read Why your company needs an AI Gateway on the Sensedia blog.
This document is the property of Sensedia. You may not use it for commercial purposes or reproduce it, partially or in full, without our express authorization. ↩
We use cookies to enhance your experience on our site. By continuing to browse, you agree to our use of cookies.Learn more