KNOW HOW
EVERYTHING
CONNECTS
Network Intelligence for Complex Infrastructure Systems
Modern infrastructure doesn’t operate as a collection of individual assets. It operates as a network.
Roads connect to bridges. Railways connect cities and supply chains. Utilities support transportation, communications and essential services. Sensors, weather, traffic, incidents and operational systems continuously change the conditions across those networks.
Everything is connected.
T-Kartor Iris GeoGraphAI combines geospatial intelligence, knowledge graphs, graph analytics and AI to transform fragmented infrastructure data into dynamic network intelligence, helping organizations understand how complex systems connect, interact and respond to real-world events.
YOUR INFRASTRUCTURE
IS CONNECTED.
YOUR DATA ISN’T.
Organizations responsible for critical infrastructure have enormous amounts of data — but much of it lives across separate systems.
The challenge isn’t simply accessing more information. It’s understanding the relationships within it.
GeoGraphAI brings those relationships together within a graph-based environment, creating a connected representation of infrastructure, systems, locations and changing operational conditions.
KNOWLEDGE
Connect assets, systems, locations and conditions within a dynamic knowledge graph.
INTELLIGENCE
Apply graph analytics and AI to reveal patterns, analyze dependencies and support operational decisions.
Data tells you what is there. GeoGraphAI helps you understand what it means.
ASK BETTER QUESTIONS OF YOUR INFRASTRUCTURE
Once you understand the network, you can begin asking more powerful questions.
01 / IMPACT
What happens if this fails?
Identify critical nodes and understand how the loss of a bridge, road, station, facility, utility asset or other infrastructure could affect the wider network.
02 / PATH
What is the best path right now?
Evaluate routes using more than distance alone, including time, capacity, cost, weather, incidents, restrictions and current operational conditions.
The shortest route isn’t always the smartest route.
03 / BOTTLENECKS
Where are bottlenecks developing?
Analyze network behavior to identify congestion, constraints and potential points of failure before they create larger operational impacts.
See problems developing across the network.
04 / PRIORITY
Which assets matter most?
Understand dependencies to identify infrastructure with the greatest impact on operations, resilience and continuity. Combine those relationships with maintenance and sensor data to better prioritize resources and preventive maintenance.
Don’t just ask what needs attention. Ask what matters most.
05 / RELATIONSHIPS
How does everything connect?
Explore relationships between infrastructure, operational systems and external information that would be difficult to identify using traditional databases alone.
AI-enabled capabilities including semantic search, LLM support and advanced data linking provide additional ways to explore and understand those relationships.
All with geographic and network context.
HOW GEOGRAPHAI UNDERSTANDS THE NETWORK
GeoGraphAI models infrastructure as an interconnected graph.
NODES
WHAT EXISTS
Stations, intersections, facilities, equipment and infrastructure assets.
EDGES
HOW THEY CONNECT
Roads, rail lines, pipelines and operational dependencies.
PROPERTIES
WHAT’S HAPPENING
Travel time, capacity, cost, weather, restrictions and operational status.
Real-time information such as sensors, incidents, traffic, weather and maintenance data can be connected to the graph, creating a dynamic model of how the network behaves under real-world conditions.
BUILT FOR REAL-WORLD INFRASTRUCTURE
GeoGraphAI brings advanced network intelligence into the T-Kartor Iris environment.
Large-Scale Network Modeling
Model and analyze extremely large and complex infrastructure networks.
Path & Dependency Analysis
Analyze routes and relationships using multiple operational constraints.
Bottleneck & Critical Node Detection
Identify infrastructure whose disruption could significantly affect network operations.
Real-Time Data Integration
Connect sensors, incidents, traffic, weather, IoT and other operational information.
AI-Enhanced Analysis
Use semantic search, LLM support and advanced data linking to explore complex information.
Secure Operations
Support cloud, on-premises, hybrid and secure environments with role-based access and system traceability.
ONE NETWORK.
MANY OPERATIONAL CHALLENGES.
Apply network intelligence to the infrastructure systems where relationships and dependencies matter.
Transportation
Optimize road and rail networks using real-world operational conditions.
Critical Infrastructure
Understand dependencies and the potential cascading impact of disruption.
Logistics
Identify optimal paths, constraints, bottlenecks and alternatives across complex supply networks.
Infrastructure Maintenance
Identify critical assets and prioritize maintenance based on their importance to the wider network.
Defense & Civil Preparedness
Understand infrastructure relationships and dependencies where resilience, security and continuity are critical.
MOVE BEYOND STATIC DATA.
START UNDERSTANDING THE NETWORK.
Infrastructure is becoming more interconnected, more dynamic and more dependent on information from multiple systems. Understanding individual assets is no longer enough.
Organizations need to understand relationships, dependencies and consequences. T-Kartor Iris GeoGraphAI combines geospatial intelligence, knowledge graphs, graph analytics and AI to turn fragmented infrastructure data into operational network intelligence.
