Cleo AI

What it does

Most small product teams spend days reading hundreds of customer messages, GitHub issues, and coding-agent failure traces trying to figure out what to build next. In this era, small AI native teams in B2B can outperform large companies. Cleo does that work for you. Connect your sources, hit Run, and Cleo writes a one-page brief: the top bet, the customers asking, the evidence chain, the draft spec. Cleo watches your metrics and tells you honestly: worked, partially, did not work, or too early.

Cleo is an AI product engineer for AI-native teams. It turns customer signal, product usage, and agent traces into shipped improvement bets, ships them through your coding agents, and proves what actually moved. End to end, on repeat.

Cleo is your AI product engineer. It continuously turns customer signal, product usage, and agent traces into shipped improvement bets, ships them through Cursor, Claude Code, Devin, or Cline, then proves what actually moved . End to end, on repeat. Planning cycles assumed humans wrote the code and customers told you what to build. Both assumptions broke. Coding agents write the code now, and your production already shows you what to build next. The bottleneck moved. It is no longer throughput or even prioritization. It is feeding agents the right context, sourced from production, at the moment a decision has to be made. The team that wins stops deciding what to build and starts running…from cleo.axcelner.com

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