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Unsupervised AI for predictive maintenance, scalable across machine types and processes.
Presenso provides an AI-driven, cloud-based predictive maintenance solution that is machine and process agnostic. Using unsupervised learning and Auto-ML, Presenso automatically analyzes sensor data, detects abnormal patterns, and alerts technicians to potential breakdowns. The platform is quick to deploy, scalable, and requires no plant-level support or human expert input, making it ideal for Industry 4.0 transitions and large-scale industrial operations.
Unsupervised anomaly detection
No rule-based configuration needed
Immediate notification of abnormal behavior
Supports rapid remediation
Supports multiple machine types
Cloud-based for enterprise deployment
Connects to diverse sensors and data sources
Azure-based SaaS
No plant-level support required
Quick deployment
AI-driven Predictive Maintenance solution
AI-driven predictive maintenance for industrial machines
Automated Machine Learning (Auto-ML) and Deep Learning
Unsupervised learning (no pre-defined rules required)
Real-time anomaly detection and pattern recognition
Prediction of remaining time-to-failure and failure origin
scale a predictive maintenance program across a large fleet of assets.
IIoT data) looking for an AI solution that doesn't require in-house data scientists.
strial sensor data.
aaS solution with transparent, publicly listed pricing.
Eliminating unplanned downtime and increasing production yields by providing scalable, easy-to-deploy, and highly accurate AI-driven predictive maintenance that automatically adapts to the industrial environment without requiring a team of data scientists.
Acquired by SKF (Oct 2019), meaning its future product development and availability may be tied to SKF's strategic direction. Lack of easily verifiable, recent independent customer reviews or case studies (post-acquisition).