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The other names on your shortlist.

Most of these we coexist with, and the pages say so plainly. Two of them we argue with. Where the other tool is the better buy for what you are actually trying to do, that is written down too — it is cheaper for both of us than finding out in month three.

The list

Grouped by what the tool actually is

If AI is one slice of a much bigger cloud bill

Four of these read the same provider bills we do, and they sit next to the EC2 line we don't touch. If nobody at your company is asking you to move the traffic — only to explain it — one of them is probably the better buy, and we'd say so on a call.

If something already sits in the request path

Portkey open-sourced its entire gateway under Apache 2.0 in March 2026. If all you want is one endpoint across many models, that is an afternoon's work and you do not need us for it.

Two of these are closer to us than any FinOps platform. Cast AI routes to a cheaper model and optimizes GPUs inside one product. Workato matches us on attribution, on routing and on per-key budgets — we lose the first two rows of that page outright, and the page says so. What neither of them does is test whether the cheaper model still answered as well.

If the real question is hardware, or tracing

Both of these stay installed. Datadog is the right tool for latency and errors and replacing it is not something we are trying to do. Run:ai builds a better scheduler than anything we will ever ship, and its core has been open source since NVIDIA released KAI Scheduler.


One thing you will not find on any of these pages is a savings percentage. We have no verified customer outcomes yet. Inventing a range would undercut the only thing we are actually selling, which is that the number can be checked.

See what the last 30 days would have saved.

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