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#2 Uptake
AI‑powered asset performance platform that predicts equipment failures, recommends actions, and provides real‑time analytics for heavy‑industry fleets.
Machine‑learning based predictive maintenance suite that detects anomalies, forecasts failures, and optimizes maintenance schedules across manufacturing and energy sectors.
Enterprise AI platform offering pre‑built predictive maintenance applications, data integration, and scalable analytics for complex industrial environments.
Cloud‑native APM solution that combines digital twins, condition monitoring, and prescriptive analytics to improve asset reliability.
Integrated asset management suite with AI‑driven predictive maintenance, IoT data ingestion, and work‑order automation.
Open IoT operating system that leverages advanced analytics and machine learning to forecast equipment health and schedule maintenance.
IoT platform with built‑in predictive maintenance analytics, digital twins, and edge processing for manufacturing and field service.
Fully managed SaaS offering that connects devices, runs ML models, and provides actionable insights to prevent downtime.
Enterprise‑grade solution that integrates with ERP, uses AI to predict failures, and automates service execution.
Connected‑asset platform delivering condition monitoring, anomaly detection, and prescriptive maintenance recommendations.
Cloud‑based analytics suite that aggregates sensor data, runs predictive models, and visualizes asset health across power and automation assets.
Edge‑enabled platform that collects device telemetry, applies AI models, and alerts operators to impending equipment issues.
#14 Falkonry
Real‑time analytics engine that learns patterns from streaming data to detect anomalies and predict failures in industrial processes.
#15 Augury
Acoustic‑based predictive maintenance platform that monitors vibration and sound signatures to identify early signs of wear.
#16 Senseye
AI‑driven condition monitoring solution that predicts bearing and gearbox failures using vibration data and machine learning.
Specialized predictive maintenance suite for mining equipment, offering failure forecasts and optimized maintenance planning.
CMMS with built‑in predictive analytics that integrates sensor data to trigger work orders before failures occur.
Tool‑centric platform that combines handheld sensor data with cloud analytics to predict equipment degradation.
Digital‑twin based solution that simulates structural behavior and predicts maintenance needs for heavy infrastructure assets.
Automated AI platform that discovers hidden causal relationships in equipment data to forecast failures and suggest interventions.