Product

One platform for governed business data access and SQL workflows.

DataPilot gives analysts one operating layer for collaborative SQL, scheduling, metadata, and execution controls. Business teams get governed KPI answers, reports, alerts, and exports built on approved logic instead of raw database access.

Supported databases: PostgreSQL, SQL Server, MySQL, Amazon Redshift.

What DataPilot solves

  • Give executives and operators governed business data access without broad raw database exposure
  • Keep collaborative SQL work reviewable, reusable, versioned, and schedulable
  • Deliver CSV/XLSX exports and recurring reports from approved queries
  • Run execution in cloud, on desktop, or inside private networks
  • Support AI workflows with a safer execution layer around company data
  • Monitor important datasets with data checks, alerts, and operational history
DataPilot product overview with governed data access and SQL workspace

Two product flows, clearly separated

This matters because the people who build data workflows are not always the same people who consume the results.

Business flow

Governed KPI answers, reports, exports, and alerts

Use trusted logic prepared by analyst and engineering teams to give CEOs, COOs, PMs, finance, and operations stakeholders governed access to the business data they need.

  • Business-facing KPI answers instead of raw query editing
  • Recurring reports, alerts, and operational visibility
  • Governed access patterns around approved logic
  • Strong fit for executive review and weekly reporting workflows
Explore Business KPIs

Analyst flow

Collaborative SQL workspace, metadata, scheduling, and control

Analysts keep the tools they need to author, review, schedule, document, and monitor SQL workflows.

  • Collaborative SQL workspace
  • Metadata catalog and ERD exploration
  • Scheduled exports and notifications
  • Operational execution across cloud, desktop, and on-prem setups
See the workspace

Query workspace

Write, review, version, comment, and reuse SQL with a shared workflow.

See the workspace

Scheduling and exports

Turn trusted queries into recurring deliveries across CSV, Excel, and operational run history.

Explore scheduling

AI-assisted workflows

Use AI for schema-aware engineering workflows while keeping execution grounded in your real environment.

See AI workflows

Private execution

Keep workloads near protected databases with local and on-prem execution options.

See private execution

Security and control

A better layer between company data and AI tools

If teams are experimenting with AI plus direct database connectivity, DataPilot gives them a more operational path: query workflows, delivery loops, visibility, and safer execution patterns.

Explore the AI agent angle