Databao is a team of AI data coworkers that learn how you work, take on your data tasks — cleaning, analytics, reports, and monitoring — and run them end to end. They run locally on your machine.

Does my data leave my machine?

No. Databao runs on your computer and stores and analyzes everything locally. Anything that would leave your machine is called out and waits for your approval.

How does Databao learn a task?

Show it one cycle — your data sources, spreadsheets, past reports, and the steps you do by hand — or walk it through in chat. It learns the task and gets better every time you review.

Can I audit what the agents did?

Yes. Every task keeps a complete, local audit trail: each step against the plan, every input, where it came from, and the file it produced. You can export a signed log at any time.

Databao

baked by

Data agentsthat operate on your machine

Connect your sources, build agents for your recurring data tasks, and run them end to end with both local and cloud models with your key. Everything the agents produce and learn stays on your computer.

Tell us what you want to automate.

Create data agents for a purpose

Each agent specializes, remembers your process, and works on its own — all on your machine.

Databao — Annaclaude-sonnet · local

Anna10:41

It's the start of the month — your May sales report is due. Want me to pull all 6 sources, clean and join them, and assemble it like last time?

You · 10:42

Yes, go ahead.

Anna10:42

Done — I pulled all 6 sources, cleaned and joined them, and assembled the report. Attached below.

sales_report_may.pdf2.4 MB · PDF document

monthly_sales_report · completed

Message Anna…

Anna prepares your reports.Anna knows which six sources feed the monthly sales report, how they're cleaned and joined, and what the output looks like. You taught her once. Now she compiles the report on schedule and sends you a draft.

AnnaJob

Reporting agent

sales_report_may.pdfdraft

PDF

Joe monitors your metrics.Joe knows which KPIs matter and what their normal ranges are. When something changes, he finds the driver and emails you before the review meeting.

Joe

Monitoring agent

KPI monitorrevenue · 30d

Mira runs your analysis.Ask Mira questions in plain language. She writes and runs the queries, checks the joins, and returns findings with the SQL attached. When you are ready to share your agents, enable Mira, your ad-hoc analyst that answers your stakeholders directly.

Mira

Analytics agent

exploring dataset12,480 rows

Take advantage of powerful data automation

Pick a task and create your agent. It learns from you and can run it end to end. You get:

Recurring reports

For sources you can't upload to a SaaS.

Data cleaning and prep

Cleaned and joined from local files and databases.

Multi-source consolidation

One consolidated view for many systems, built on your disk.

Root-cause analysis

The drivers behind metric shifts, computed locally.

Anomaly monitoring

Watching your metrics, staying on your device.

And more…

Teach it once, run it whenever you need it

Weekly KPI Report · last cycle

Connected

Final report & workbook

Source exports (6)

Request & reminder emails

Templates & instructions

What Databao learned

Which sources feed each metric and when they refresh
How raw data is cleaned, joined, and reshaped
How the final report is assembled from the sources

Databao versus the alternatives

Purpose-built and secure by default — without the setup marathon.

Criteria	Databao	Cloud models	General self-hosted agents (OpenClaw, Hermes)
Secure and reliable configuration	Out-of-the-box configuration, data access, built-in tools, and secure settings	Manual and limited configuration	Many hours needed to achieve a decent, reliable, and secure configuration
Data location	Your machine	Their servers	Your machine
Models	Local, with the option of cloud-based	Theirs only	Local, with the option of cloud-based
Data-related tasks	Purpose-built skills and workflows, 30+ connectors	Copy-paste your data in	Build the data layer yourself

Personal first, team later

With our Personal plan, everything lives on your computer, and you get to use your choice of model. The Team plan adds shared agents. This distinction lets you share skills and workflows intentionally, after they've proven their worth.

Start Personal

Everything runs and is stored on your computer. Databao uses local or cloud models, whichever you choose. Nothing leaves your machine unless you allow it.

On your machineLocal or cloud models

Go Team

Everything from the personal setup stays. On top of that, you add a shared knowledge layer: your coworkers' skills and data workflows are shared across the team.

Share data workflows across the team
Reuse skills the team already trusts
Build an accurate map of your team's data work

Native support for many data connectors: PostgreSQL, MongoDB, ClickHouse, Elasticsearch, Redis, and local files and spreadsheets — as well as SaaS sources (Stripe, Shopify, Google Analytics, and more) if you choose to connect them.

Works with the data sources your work already runs on

Connect the databases and local files you already use. Databao reads from them directly, on your machine — no migration, no new pipelines to wire up.