Features
Natural language querying of Excel/CSV data
Smart data cleaning (missing values, duplicates, formatting)
Quick chart generation (histogram, bar, line, etc.)
Pivot table creation from natural language prompts
Formula generation (e.g., profit column calculation)
Multi-file analysis (combine up to 5-10 files)
Export processed data and charts
Local processing in browser – no data uploaded
Privacy Inspector Pro Mode (in Pro plan)
Basic mode for standard operations
Field limits per plan (10/20/50 fields per file)
Monthly analysis credits (10/300/1000 per month)
File size limits (10MB/100MB/unlimited)
Browser-based – no installation required
No login required for free tier
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
