AI Gateway
Engineering teams managing multiple LLM providers are searching for middleware that standardizes auth, error handling, and observability across models. The intent is purely informational, indicating the category is still being defined rather than shopped—buyers are learning what an AI gateway does. Portkey and Kong already own the narrative, but the breadth of the term suggests room for specialized variants (e.g., security-focused or Databricks-native gateways).
Interest ⓘ
26/ 100
5y growth
+4571%
Referenced in
1 report
5-year search interest
Why people care
“Managing multiple LLMs meant juggling auth, errors, and APIs. Instead of managing APIs, I chose Portkey's AI gateway to handle the infra, ...”
portkey.aiSource →“Portkey is an AI Gateway and production control plane built specifically for GenAI workloads. It provides a single interface to connect, observe, and govern ...”
portkey.aiSource →“AI gateway security is fundamentally about securing and governing the interactions between AI agents and enterprise or SaaS applications.”
cequence.aiSource →“Databricks Unity AI Gateway provides access to any LLM and MCP via a single API. Manage access and capacity, enforce guardrails, and monitor usage and ...”
databricks.comSource →“An AI gateway is a specialized middleware platform that facilitates the integration, deployment and management of artificial intelligence (AI) tools, ...”
ibm.comSource →“AI Gateway simplifies AI app development with unified billing, secure key storage, and dynamic routing. Gain observability and control over ...”
cloudflare.comSource →“The AI Gateway is designed for fast, reliable & secure routing to 1600+ language, vision, audio, and image models. It is a lightweight, open-source, and ...”
github.comSource →“Deliver AI connectivity with centralized security, routing, observability, and cost control for LLMs and MCP resources. Explore Kong AI Gateway!”
konghq.comSource →
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