N2 Infotech Launches AI Predictive-Maintenance Solution

South Korea-based N2 Infotech has developed and commercialized a smart maintenance system that collects real-time elevator operation data and predicts component replacement cycles using AI technology, according to Pangyo Techno Valley. This new solution predicts component wear based on actual usage data, identifying optimal replacement timing without having to rely on human experience, which maximizes maintenance efficiency, reduces unnecessary replacements, lowers costs and enhances public safety and operational reliability. N2 Infotech has chosen public institutions as its primary market target. Public elevators are widely used, have pre-allocated budgets, require periodic maintenance by law and demand safety and efficiency. The company will initially target Europe and North America, as Europe has a high ratio of elevators more than 20 years old and North America is known for strict elevator safety standards and smart building adoption. The system comprises real-time elevator operation data collected via sensors, AI-powered analysis algorithms and user-friendly web and mobile platforms. This solution shifts away from fixed maintenance intervals (monthly or annually) to “usage-based maintenance” determined by actual operation. It also detects potential malfunctions early based on real-time data, eliminating maintenance gaps.