Real Autonomy. Real Impact.

Company S, which manages fire risk for large buildings and industrial facilities, monitored a wide range of safety equipment, including electrical rooms, fire detectors, fire-pump control rooms and generators, but struggled to see risks as a whole. Managers had to sift through complex system information to judge whether a risk was real and what caused it, and even after a risk was confirmed, most of the response, such as choosing who to send and ordering on-site checks, was handled manually.

Especially when managing several facilities at once or with limited night-shift staff, the speed and quality of the response varied with each person's workload and experience.

Modapl integrated data from safety equipment into one platform and used AI to detect anomalies and fire risks. AI analyzes the location of the anomaly, the condition of related equipment and past events together to estimate the likely cause and risk level, then automatically assigns inspection tasks based on each facility's response manual and each worker's workload, skill level and assigned zone.

Workers receive the situation, key inspection items and recommended actions on their mobile devices and record their on-site findings and actions in the system. Managers can now track and manage the entire response in real time, from risk detection and assignment to completed on-site action.

Instead of managers checking alerts and dispatching staff by hand, AI analyzes the situation and automatically assigns inspection tasks to the right workers, enabling fast and systematic responses.