Features
Sovereign agentic search across private data
Automated intelligence synthesis into reports, briefs, decks
Infinitely customizable artifact formats (decks, spreadsheets, code, audio)
Model-agnostic: bring your own model or use ours
Single-tenant secure deployment with SOC 2 compliance
Zero data leakage: no training on your data
Built-in governance evaluations with no-code audit
Granular user roles and access control
Full API and SDK for developers
Seamless integration with internal data via APIs, PDFs, databases
Rapid deployment in days, low IT overhead
Traceable and auditable outputs
Supports structured and unstructured data
No-code evaluation tools for non-technical users
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
