RevSure AI

Datadog is up by 60% in 30 days. That's roughly $28B in market cap added. But for me, the real story from their Q1 call wasn't the $1B in quarterly revenue. It was the disclosure that two hyperscalers signed deals to instrument their superintelligence labs. Think about it - the companies building the agents that are supposed to make observability obsolete just paid Datadog to watch them. That's the displacement thesis collapsing in real time. The "agents replace tools" argument assumes the agent operates in a black box nobody needs to see into. If it works, ship it. If it fails, regenerate the prompt. Nobody answers who is responsible when that agent routes a deal through a stage it should have skipped. The labs know, they build the models. They are buying the watch tower anyway. What Datadog is for cloud infrastructure, the context layer is for revenue motion. Every RevSure customer who rolled out agents into their funnel reached the same conclusion the labs reached. Not faster automation. A system that can answer who acted, on what context, with what authority. Agents made the actions cheap. Accountability got expensive. That accountability does not live inside the agent. It lives underneath. The context graph that records every signal the agent saw, every handoff it executed, every decision it could make, and every one it could not. When the people building AI are paying premium to watch their own AI, the question is who in your stack gets to operate without a flight recorder. That seat does not exist anymore. Sara Varni , Olivier Pomel , Adam Blitzer , Yanbing Li , Alex Cox