Danti is an AI-powered platform that enables fast, semantic, and secure discovery of geospatial data across decentralized systems—without duplicating or moving data. It supports enterprise and government use cases, enabling real-time spatial intelligence and decision-making. Designed for enterprise, government, and mission-critical environments, Danti streamlines SDI access by transforming unstructured data into structured, map-ready insights while preserving data sovereignty and security.

Key Features:
• Zero-Copy Architecture: Connects directly to existing data sources without ingesting or replicating data.

• Semantic Indexing & NLP: Understands and classifies both structured and unstructured data (e.g., PDFs, spreadsheets) for natural language querying.

• Interoperability: Compatible with OGC standards (WMS, WFS, GeoJSON, CSW, STAC) and API protocols (REST, GraphQL).

• Extensibility: Modular microservices enable tasks like computer vision, vector tile generation, and data enrichment.

• Security: Uses zero-trust, RBAC, and SAML/OpenID for secure, fine-grained access control across agencies.

Benefits & Impact:
• Rapid Discovery: Replaces traditional manual data retrieval with seconds-fast, plain-language search.

• Operational Efficiency: Reduces need for ETL and centralized ingestion, preserving data sovereignty.

• Broader Access: Makes geospatial tools accessible to non-GIS users (e.g., planners, emergency responders).

• Improved Decision-Making: Enhances cross-functional collaboration and situational awareness.

Use Cases:
• Urban planning
• Environmental monitoring
• Emergency response
• Inter-agency data sharing