Portkey

When you're handling millions of requests, even a 0.1% failure rate is unacceptable. We needed infrastructure that could scale with our enterprise customers while maintaining perfect reliability

We saw AI adaption growing very quickly with students and with staff, but it was all on personal devices, personal accounts, commercial subscriptions

Earlier, they would always default to ChatGPT. Now, they actually have a choice in terms of an open source model, a locally hosted model, or a commercially provided model

One of the major advantages that we see is the zero day turnover time in implementing a new model

Prior to Portkey, Snorkel debugged LLM applications with a fragmented patchwork of logs in s3, DB queries, and manual visualization. The clean Portkey UI allows us to identify, debug, and rebuild agents with confidence

With Portkey, every agent, sub-agent, and tool call is visible in one hierarchy — you can see how decisions branch and converge. Seeing the full execution tree in one view completely changed how we debug

We use it every single day. We couldn’t be without Portkey