Databao

Databao is a desktop app for managing data work on a local machine. It describes itself as a team of data coworkers that learn from a user’s sources, transformations, and recurring questions, then run tasks locally.

The product is built around agents that specialize in different jobs and remember the process they were taught. Examples on the page include recurring reports, metric monitoring, ad-hoc analysis, data cleaning and prep, self-service analytics, multi-source consolidation, root-cause analysis, and anomaly monitoring. The workflow described is to show an agent one cycle of a task, after which it can run the next cycle on its own and present exceptions for review. The page also says agents work in one workspace, can build context from local data, and can answer questions from that local context. For reporting, one example shows an agent pulling multiple sources, cleaning and joining them, and assembling a report. For analysis, another example says an agent writes and runs queries, checks joins, and returns findings with the SQL attached.

Databao says it connects directly to databases, warehouses, and apps that are already in use, and that this requires no migration and no new pipelines. It lists local or cloud models as options, says everything runs and is stored on the user’s machine, and notes that nothing leaves the machine unless allowed. The page also mentions shared team workflows: when a workflow has proven out, its skills and task definitions can be shared with coworkers through a shared knowledge layer.

The site names a signed local audit trail and says every source, transform, and query is logged. It also lists more than 30 purpose-built data connectors and shows examples of connected systems including postgres, dbt, and sheets. The page includes a Plans link and a Join Alpha call to action, but it does not state pricing details or a license.