Features
AI-powered data extraction from PDFs, images, and scanned documents
Auto-classification and splitting of documents
Table extraction and field extraction
AI-document reviewer for human-in-the-loop validation
Cross-document validation for consistency checks
Agentic document workflows (email triage, collection, extraction, validation agents)
Pre-trained models for 100+ document types (invoices, bank statements, ACORD forms, etc.)
Custom model training with as few as 20 sample documents
AI-prompting and refinement for extraction rules
Real-time document analytics and audit logging
Integrations with 500+ apps via Zapier
Pre-built integrations with Salesforce, QuickBooks, Google Sheets, Xero, Stripe
SOC 2, GDPR, HIPAA compliance
PII detection and automated redaction
Role-based access control and audit trails
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
