AI Gateway1 / 5
Positioning AI Gateway
as a separate product
was a mistake
from the start.
Second console, second deploy, second vendor,
second on-call. Why?
second on-call. Why?
apinizer.AI is a proxy type, not a productAI Gateway2 / 5
AI is a new protocol.
Not a new product.
REST · SOAP · gRPC · WebSocket
…and AI — a first-class proxy on the same gateway
Same pod, same pipeline, same team
apinizer.AI is a proxy type, not a productAI Gateway3 / 5
Same platform,
one thing to learn.
01
Same identity
OAuth2 · OIDC · JWT · mTLS — one Identity Manager
02
Same analytics
AI and API logs in one Analytics Engine
03
Same deploy
Explicit, versioned, environment by environment
apinizer.AI is a proxy type, not a productAI Gateway4 / 5
Reuse,
not rewrite.
1
runtime
30+
ready policies
0
new consoles
apinizer.AI is a proxy type, not a productAI Gateway5 / 5
Buying AI as a separate box
doubles your ops load.
Identity, audit, deploy, on-call — all duplicated.
Do you manage AI traffic
somewhere separate from your APIs?
somewhere separate from your APIs?
apinizer.AI is a proxy type, not a product← → to navigate