AI is spreading across every company, but most leaders are still managing it through scattered tools, policy docs, invoices, and anecdotes. Proxon is the system of record for your AI workforce: it connects to the AI tools, agents, and workflows your teams already use, then shows who is using AI, what it costs, what data it touches, what outcomes it creates, and where ownership or governance is missing.
Dev on the @Proxon team here 👋.
We kept hearing the same thing from teams adopting AI fast: nobody had a clear picture of what was actually happening across all the tools once it spread past a handful of early adopters. Spend, usage, ownership — all of it scattered across vendors with no single view. That gap is what got us building.
Personally I just wanted to build something people would actually enjoy using, not just tolerate. That's been the bar for me the whole way through.
Really proud of where it landed. Excited to finally have this out — let us know what's rough, we're reading everything.
the "what data it touches" part depends a lot on whether the underlying tool actually exposes that, plenty of AI products don't have a real audit log or API for what data went into a given call. for tools that don't cooperate with detailed reporting, does Proxon fall back to something coarser like just usage/cost, or is there a real gap in the picture for those
Dave here, CPO at Proxon. I've run dozens of customer discovery calls in recent months, and the response has been overwhelming. People start pulling in their eng leads mid-call, before I've even finished the demo. "This is the exact visibility I've been looking for" is the common refrain. That reaction is why we still do this, and why we’re so excited about Proxon.
We’re still early, and still eager to talk to customers. I’d love to chat with you about your AI adoption story!
Macaly
managing agents like a team is the right frame 👏 is the buyer eng or ops?