(Singapore, 28.01.2026)Today, the global elevator and escalator manufacturer KONE Corporation has extended its strategic collaboration agreement with Amazon Web Services (AWS) for a further seven years, continuing their work on cloud-based and AI-enabled digital solutions for smart buildings.
Under the extended agreement, KONE will continue to use AWS cloud infrastructure to support the deployment of artificial intelligence, machine learning and data analytics across its global operations. The collaboration will focus on embedding AI capabilities into KONE’s service portfolio, expanding cloud connectivity to an additional 1.8 million devices worldwide, and developing new digital solutions aimed at improving maintenance, operational efficiency and building performance.
KONE said the extended collaboration will also support the rollout of advanced data analytics tools and machine learning models used in its digital services, including predictive maintenance and real-time monitoring of elevators and escalators.
Tomio Pihkala, Chief Technology Officer at KONE, said the collaboration with AWS has supported the company’s ongoing digital transformation, particularly through the development of the KONE Digital Platform, which integrates AI and cloud technologies into core operational systems.
AWS Managing Director for Europe, the Middle East and Africa, Tanuja Randery, said the continued collaboration will focus on applying cloud-based infrastructure and digital tools to support more reliable building systems and maintenance operations.
The renewed agreement builds on earlier phases of cooperation between the two companies. KONE has migrated its Product Data Management solutions to the cloud and developed the KONE Digital Platform, which currently connects more than 40% of its global device base. This includes hundreds of thousands of elevators and escalators connected to cloud-based services.
According to KONE, the platform underpins services such as KONE 24/7 Connected Services, which provides real-time equipment monitoring and predictive maintenance. The company said the platform also supports field technicians with digital tools designed to improve service efficiency and response times.
