Turn any data file into a beautiful, interactive dashboard in seconds. Multi-file relationships, natural language queries, and one-click export — all in one native Windows application.
Professional analytics tools designed for speed, clarity, and privacy on Windows.
Build beautiful, real-time dashboards with charts, KPIs, and filters. Drag-and-drop simplicity with professional results.
Segment data with powerful filters, date ranges, and custom queries. Find the insights that matter in seconds.
Schedule PDF and Excel reports. Deliver insights to stakeholders automatically without leaving the app.
Import from CSV, Excel, databases, and APIs. Connect to the sources you already use.
All processing happens on your machine. Your data never leaves your PC unless you choose to export it.
Export charts, tables, and full reports to Excel, CSV, PDF, or image formats with one click.
Clean, modern interface designed for focused analysis.
Complete source code, branding, and license system included.
Simple installation and first insights.
Click the button above and save the installer to your computer.
Run the installer. If SmartScreen appears, choose “Run anyway”.
Launch the app, import your data, and start building dashboards.
Everything you need to know before downloading.
Yes, a full-featured free trial is available. After the trial period you can purchase a license or continue with limited features. Replace this text with your actual pricing model.
No. All analysis runs locally on your Windows PC. Data is only transmitted if you explicitly connect to an online data source or choose to export and share files.
This is Microsoft’s reputation system for new applications. Because the app is relatively new or has limited download history, Windows shows a caution dialog. The installer is code-signed. Click “More info” then “Run anyway” to proceed safely.
The app checks for updates automatically. You can also return to this page and download the latest version at any time. Replace with your actual update mechanism description.
CSV, Excel (.xlsx), JSON.