Features
AI-powered column mapping and value mapping
White-label embedded import widget (modal or inline)
SDK for React, Vue, vanilla JS (TypeScript-ready)
File upload via API, URL, SFTP, FTP, email
AI Autoclean for data quality (up to 200/mo on tiers)
Power Functions for custom transformations
Event-based callback system (successSubmit, etc.)
GDPR-native data processing
Supports CSV, Excel, JSON, TXT, PDF, unstructured files
Reusable templates for recurrent mappings
Scalable from 500K to unlimited lines per month
Agentic AI pipeline for unstructured files (2026)
Auto-adapts to new formats without engineering
ROI calculator and free trial (7 days, no credit card)
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
