Features
Automated report generation from raw data
Natural language querying of datasets
Interactive charts and visualization library
Customizable report templates
Multi-format export (PDF, PPT, DOCX, web)
Data cleaning and preprocessing AI
Collaborative editing and commenting
Integration with Google Sheets, Excel, and SQL databases
Branding and white-labeling for reports
Version history and audit trail
Scheduled report delivery
AI-powered narrative summary writing
High-fidelity synthetic data generation via TabularARGN
Agentic data science automation for training/sampling
Natural language AI Assistant executing Python code
Mock data generation for safe experimentation and testing
Simulated data for edge-case and what-if modeling
Multi-table synthesis with referential integrity
Time-series support and data rebalancing
Differential privacy with temperature control
Deployment on Kubernetes or Red Hat OpenShift
Open-source Synthetic Data SDK under Apache v2 license
Data connectors for Databricks, AWS, Snowflake, BigQuery
Real-time data access from production systems (e.g., Databricks)
Star schema and nested sequences support
REST API and Python Client for programmatic access
Conditional simulation and seeded generation
