T-Kartor USA proposes Iris, a modern, open-source-driven Spatial Data Infrastructure (SDI) solution designed for real-time, interoperable, and secure geospatial data management. Built on containerized microservices, Iris supports elastic scaling, open standards, and federated deployment for both civilian and defense environments, enabling seamless integration, discovery, and sharing of spatial and non-spatial data. It is already operational at TRL 9, including accreditation for secure NATO networks, and has been field-tested in multinational exercises such as Arctic Strike.

Key Features

• Has open, interoperable & containerized architecture.
• Built entirely on open-source technologies and OGC standards (WMS, WFS, WCS, WMTS).
• Fully containerized microservices allow for elastic scaling across cloud, on-prem, or small-footprint hardware.
• Supports federated instances, with automatic synchronization of updates across deployments.
• Includes automated data integration and service generation.
• Ingests 300+ spatial and non-spatial formats using GDAL, OGR, and open libraries.
• Automatically converts ingested datasets into OGC-compliant web services with auto-generated metadata tags.
• Supports real-time data fusion and cross-domain visualization.
• Features RESTful API and machine-to-machine communication.
• Offers robust API for system integration and data exchange with third-party applications.
• Compatible with ArcGIS Pro, QGIS, Cesium, and planned AI/ML-ready vector data stores.
• Offers secure and mission-ready deployment.
• TRL 9 solution accredited for secure NATO environments.
• Supports government and commercial networks with customizable governance models.

Benefits & Impact

• Enhanced Interoperability & Data Sharing:
  Enables system-of-systems SDI without vendor lock-in.
• Scalable & Resilient Infrastructure:
  Elastic microservice deployment adapts to mission needs and workloads.
• Accelerated Decision-Making:
  Real-time data visualization and collaboration across dispersed users.
• Federated SDI Model:
  Synchronization of instances supports multi-organization and multinational operations.
• AI/ML Integration Potential:
  Future-ready architecture for geospatial intelligence and predictive analytics.

Use Cases

• Defense and Security Operations
• Secure federated SDI supporting real-time situational awareness in joint or multinational missions.
• Disaster response and emergency management
• Rapid ingestion, visualization, and distribution of critical geospatial datasets to multiple agencies
• Urban planning and public safety
• Centralized, interoperable mapping to support infrastructure planning, routing, and safety monitoring
• Geospatial intelligence and analytics
• AI/ML-ready SDI to support environmental monitoring, predictive modeling, and intelligence fusion