Edgebase is a local, git-native context substrate for coding agents. It indexes a repository into a small SQLite graph, records provenance for every fact, and exposes one primary agent tool
One thing we kept noticing while building AI products: coding agents can generate features extremely fast, but they still don t understand what users actually need unless someone manually translates feedback, support issues, analytics, and product discussions into actionable specs.
So we built Cleo AI at Axcelner to solve that operational gap for small AI-native B2B teams.
Cleo acts as a Product Ops agent that connects customer signals, product usage, support conversations, and team workflows into a single execution layer. Instead of manually triaging feedback across Slack, Jira, GitHub, analytics tools, and support tickets, the system continuously organizes and converts them into structured product actions.
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 AI