卖什么
Open Source Analytics Agent
商业模式拆解
买家：谁掌握预算？
未核实Head of data / analytics engineering at data-mature companies.
触发点：什么让他们现在购买？
未核实Business users want self-serve answers from the warehouse but LLM agents are unreliable without engineered context.
工作流：什么输入变成什么输出？
Data team builds agent context as a file system (nao init), syncs from warehouse, dbt/Looker repos and Notion, tests with unit tests on question-to-SQL (nao test), then deploys a chat UI or Slack/Teams bot (nao chat).
经济账：省了什么，怎么收费？
Open-source core; revenue from hosted cloud, enterprise plans and paid services (implementation, advisory, training, fixed-scope consulting days).
渠道：怎么接触到客户？
Open source GitHub adoption and docs, then sales-assisted cloud/enterprise and services via discovery call.
融资历史与报道
| 融资日期 | 轮次 | 金额 | 投资方 | 来源 |
|---|---|---|---|---|
| — | YC 2025 春季 | — | Y Combinator | ycombinator.com |
档案汇总自公开报道和公司官网。商业模式部分是 MaxBC 对这些材料的解读，不是已确认的事实；未知之处留空，不作猜测。 更新于 2026-10-12.