7 AI Gateway Platforms for Enterprise AI (And How They Compare)

Building LLM-powered applications starts simple. You pick a model, connect an API, and ship a feature. Maybe it’s a chatbot, a summarizer, or an internal tool. At this stage, everything feels manageable. Then things grow. Another team wants to use a different model. Someone asks for cost tracking. Security wants to know where data is going. A provider has an outage, and suddenly your system depends on a single external service. What started as a straightforward integration turns into a scattered setup of API keys, inconsistent logging, and unclear ownership.