Limble CMMS
Cloud CMMS with AI predictive maintenance and IoT integration for industrial equipment and fleet
Overview
Limble is a CMMS (computerized maintenance management system) designed for small-to-medium maintenance teams, offering work order management, preventive maintenance scheduling, and AI-powered predictive maintenance. The platform natively integrates with IoT sensors (Monnit, Augury, AssetWatch) to monitor equipment health and automatically trigger alarms if failure risk emerges. Limble also covers spare parts tracking, maintenance requests via QR code, and real-time dashboards for managers. The platform has over 50,000 users across large organizations (Nike, Sony, Mitsubishi, General Mills).
Limble does not offer a French-language interface. The vendor does not publish a pricing grid on its pricing page: an interactive calculator provides personalized estimates by configuration (user count, asset count, active modules). The documented REST API enables integration with existing systems, but documentation remains limited for very advanced cases. The main strength is flexibility: the platform works well for repair shops, heavy equipment fleets, and industrial SMEs transitioning from spreadsheets to real CMMS with predictive alerts. The drawback for a small team is the need to anticipate implementation, IoT integration, and legacy data migration costs.
Our verdict
Best for repair shops and industrial SMEs moving from manual maintenance tracking to CMMS with predictive alerts, without massive IT budgets. Not for you if you seek very low-cost CMMS: implementation services and IoT integrations can quickly double the announced initial cost.