Features
Natural language query over geospatial data
Curated earth data catalog (satellite, vector, coordinate)
Agent-orchestrated spatial analysis workflows
Multi-site flood and damage assessment
Insurance underwriting support via physical-world grounding
Real estate site intelligence and risk analysis
Energy and infrastructure asset monitoring
Mining and asset management spatial analytics
Agriculture and supply chain geospatial insights
Defence and government spatial decision support
Integration with proprietary site data
Conversational interface for earth data
Agent-driven multi-site risk assessment
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
