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Enterprise asset management suite with AI‑driven predictive analytics, condition‑monitoring, and integration to IBM Cloud Pak for Data.
Open cloud‑based IoT operating system that provides advanced analytics, digital twins, and predictive maintenance modules for industrial equipment.
Rapid‑application development platform for IIoT with built‑in predictive maintenance, edge analytics, and AR‑enabled service workflows.
Fully managed SaaS IoT solution offering customizable dashboards, anomaly detection, and predictive maintenance templates.
Managed service for collecting, organizing, and analyzing industrial equipment data, with built‑in ML‑based predictive maintenance capabilities.
AI‑powered asset management on Google Cloud that ingests sensor data, runs AutoML models, and delivers predictive maintenance alerts.
#8 Uptake
Industry‑focused AI platform that provides real‑time health monitoring, failure prediction, and prescriptive recommendations for heavy equipment.
#9 C3 AI Suite
Enterprise AI software suite with pre‑built predictive maintenance applications for energy, manufacturing, and transportation sectors.
Machine‑learning platform that creates custom predictive models for equipment failure, offering root‑cause analysis and risk scoring.
#11 Falkonry
Real‑time analytics engine that learns from streaming sensor data to detect anomalies and predict equipment breakdowns.
#12 Augury
AI‑driven acoustic and vibration analysis tool that predicts mechanical failures in rotating equipment without needing extensive sensor networks.
#13 Senseye
Predictive maintenance platform that uses statistical and machine‑learning models to forecast failures and optimise maintenance schedules.
#14 Dingo
Edge‑centric predictive maintenance solution that runs AI models on the device, reducing latency and bandwidth usage.
#15 Bosch IoT Suite
Comprehensive IoT platform with device management, data analytics, and predictive maintenance services for industrial assets.
IoT‑enabled architecture delivering asset performance analytics, condition monitoring, and predictive maintenance for energy and automation.
#17 ABB Ability™
Digital offering that combines asset analytics, AI, and cloud services to predict equipment failures across power and automation domains.
#18 Hitachi Lumada
Data‑driven platform that integrates IoT data, AI, and analytics to deliver predictive maintenance insights for manufacturing and infrastructure.
#19 Infor EAM
Enterprise asset management software with built‑in predictive maintenance, IoT connectivity, and mobile field service capabilities.
SAP Cloud solution that leverages machine learning to predict equipment failures, schedule service, and integrate with ERP processes.
Advanced process‑industry focused APM suite that combines process modeling, AI, and real‑time data to anticipate equipment degradation.