For executives and business teams
Trusted data without living in SQL
Governed KPI cards the moment you open the app. Ask follow-up questions in plain language and get trusted answers built on approved metric logic.
See how Business KPIs workYour company's key numbers, always current, always trusted.
Analysts define the metrics once. Business leaders get live KPI answers in plain language. No SQL, no waiting, no data requests.
Two flows, one platform
Built for both business users and engineering teams
Engineers keep control, governance, and operational visibility. Business teams get trusted answers without ever touching SQL.
For engineers and analysts
Workspace, scheduling, and delivery workflows
Collaborative SQL workspace, metadata catalog, AI-assisted documentation, scheduled exports, and data checks to keep data operations reliable.
See the workspaceScheduled exports and reports
Deliver CSV and Excel outputs from trusted queries on a repeatable schedule.
Explore schedulingAlerts and data quality checks
Monitor important datasets and metrics before bad data becomes a business problem.
See data qualityPrivate network and on-prem execution
Keep execution close to protected databases without exposing raw access.
See private executionFrequently asked questions
Is DataPilot only for SQL users?
No. Analysts build and govern the workflows; the rest of the team consumes trusted outputs like reports, alerts, exports, and governed answers.
Why not just connect an AI tool directly to the database?
Because query generation is only part of the problem. Teams also need controlled execution, access boundaries, repeatable delivery, and operational visibility.
Does DataPilot support private network execution?
Yes. Teams can use cloud, desktop, and on-prem execution patterns depending on where data can safely be accessed.