DeepNexus

Integrated Emergency Information System

IEMIS was created to solve a practical problem faced by municipalities: when something urgent happens, the relevant information is scattered across different systems, phone lines and services.

The platform brings these pieces together in a single place. It monitors the city in real time through networks of IoT sensors—such as weather stations, air quality sensors, thermal cameras and environmental instruments—and displays the live measurements on interactive maps and dashboards. This way, the service can see what is actually happening, the moment it happens.

What We Do

When a value exceeds a threshold or an event is detected, the system automatically sends alerts to the responsible personnel. Alerts are grouped and prioritized so that nothing gets lost in the noise of a crisis. At the same time, IEMIS maintains a registry of the municipality’s resources—staff, vehicles, equipment and materials—along with shift scheduling. The management team knows at any given moment what it has available and where it is located, and can coordinate crews based on the real situation rather than on guesswork.

The result is faster response to incidents, better coordination of crews, decisions grounded in data, and prevention through early warning.

Adaptable to any organization

Although IEMIS was originally designed for the needs of municipalities and civil protection, the same philosophy can be adapted to any organization that requires continuous monitoring, resource management and rapid decision-making.

By way of example, the platform can be used in:

Thanks to its modular architecture, IEMIS adapts to the specific needs of each organization, connects with existing information systems and sensors, and can incorporate specialized functions, automations and artificial intelligence applications—offering a unified picture of operations and supporting faster, better-documented decisions.

IEMIS focuses on the study of intelligent systems and data-driven decision-making through advanced artificial intelligence and large-scale analytics. The team explores how information, context and real-world signals shape complex processes, developing tools that support reliable automation and meaningful innovation.
IEMIS Research Group