AI data analystAsk questions. Get answers. Skip the queue.
Your agents query data, build dashboards, and surface insights – so your team can focus on analysis and strategy, not ticket backlogs and ad-hoc requests.
Last updated
Auto-retried with smaller batch size
Confirmed downstream tables refreshed
Alerted #data-engineering of slow Stripe sync
Data Engineering agent
Pipeline Monitor
99.7% pipeline uptime
Auto-retried with smaller batch size
Confirmed downstream tables refreshed
Alerted #data-engineering of slow Stripe sync
Data Engineering agent
Pipeline Monitor
99.7% pipeline uptime
connected tools, one answer
lower token cost with OM2 in a 100-task benchmark
of answers preferred in blind review
Why Coworker as your AI data analyst
Ask in plain English, run real SQL
Coworker writes and runs SQL against Snowflake, BigQuery, Databricks, ClickHouse or PostgreSQL and returns the rows.
It checks the schema first
It lists databases and tables and describes columns before it writes a query, so it isn't guessing at table names.
Warehouse spend in view
Read Databricks query history and ClickHouse usage cost to see which queries and services the spend goes to.
Results where people work
Send results to a new Google Sheet, or schedule the question as a recurring report posted to Slack or email.
See Data agents in action.
Real workflows with tool requests, reasoning steps, and approval gates – exactly how they run in production.
Connects to your entire data stack
50+ OAuth connectors – permissioned and secure. Your agents work across every tool your team already uses.
Automation for your most critical data workflows
FAQ
Frequently asked questions
AI agents handle natural language data queries, anomaly detection alerts, weekly KPI summaries, dashboard maintenance, data quality monitoring, and pipeline health checks. Data teams focus on strategy instead of maintenance.
Yes. Coworker lets anyone ask data questions in plain English across your warehouse, BI tools, and connected apps. The agent translates questions into queries, validates results, and returns answers with context.
Coworker agents monitor your key metrics continuously and alert your team when values deviate significantly from historical patterns. Each alert includes context about what changed, potential causes, and suggested investigation steps.
Coworker connects to Snowflake, BigQuery, Looker, Tableau, dbt, Fivetran, and 50+ other tools. Agents can query warehouses, monitor pipeline health, audit dashboards, and sync metric definitions across your stack.
BI tools visualize data and catalogs organize metadata. Coworker agents act on data: detecting anomalies, generating reports, answering ad-hoc questions in natural language, and alerting teams when metrics move.
Create your first data agent in 5 minutes
Connect your tools, pick a workflow, and your first agent runs before you finish setup.