Deepomatic

Deepomatic is a computer vision platform designed to automate quality control and field operations for infrastructure and utility companies. The platform uses AI-powered visual recognition to analyze images and videos captured during construction, installation, and maintenance activities, enabling real-time verification of work quality and compliance with technical standards. One primary use case is in fiber optic construction management. Deepomatic allows telecom operators and contractors to control civil engineering and FTTx (Fiber to the x) equipment installation operations. Field workers take photos of each step (e.g., trench depth, cable routing, splice closures), and the platform automatically checks whether the work meets predefined specifications. Any deviation triggers an alert, enabling corrective actions before the next phase begins. This reduces rework and ensures that physical infrastructure matches design blueprints. Another key application is fiber service activation. When connecting a new subscriber, technicians capture images of the drop cable, connector, and termination point. The AI validates that the connection is correct (e.g., proper polarity, minimum bend radius, no damage). This helps guarantee a first-time-right connection, minimizing dispatch visits and customer downtime. For mobile network deployment, Deepomatic oversees the installation of antennas, radios, and related equipment on towers and rooftops. It checks that mounting brackets are secure, cables are properly dressed, and grounding is correct. The platform also tracks whether work complies with safety regulations and operator standards, providing a digital record for audits. In the energy sector, Deepomatic supports smart meter installation. Technicians photograph the meter, wiring, an