Condition Monitoring +
Industrial IoT Platform
Sensor & AI powered
Leverage real-time machine data and smart sensors to monitor performance, anomaly detection and improve uptimes.
Open Machine Platform
We are an open machine data platform designed for today’s demanding companies that thrive on machine efficiency.
Monitor
Performance
Gain visibility into machine performance metrics and
sensor data all while reducing downtime.
Powered by Machine Learning
Use machine learning to process sensor data and detect machine performance anomalies and events.
Event Driven Notifications
Receive real-time notifications that are driven by events and anomalies detected within your machine data.
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Plug-and-Play
Quickly collect data from any machine with our quick-deploy wireless sensors or alternatively with edge I/O devices that are compatible with today’s popular industrial networks/protocols.
IoT Sensor
Ready
Support for today’s major IoT sensors that are MQTT protocol compatible. Vibration, temperature, humidity, CO2, AC current come standard.
Edge I/O &
PLC Ready
Collect and exchange on-premises OT/PLC data via Ignition, OPC UA, MQTT. Support for I/O such as analog, discrete, switches and relays.
Stand-alone Data Connectivity
Our out-of-the-box cellular gateway provides seamless data connectivity to our platform. No IT support or integration required.
Monitor Performance
View real-time machine performance metrics across multiple machines. Analyze historical sensor and machine utilization data. Capture data anomalies and events with built-in machine learning algorithms.
Machine Health
Measure a machine’s health by analyzing sensor and activity data to identify and resolve potential failures or performance degradation.
Machine Utilization
Accurately measure a machine’s utilization rate, downtime statistics, and operational readiness.
Performance Trends
Query real-time and historical machine data to identify underlying performance trends and root cause indicators.
Proactive Condition Monitoring
Data Driven Actions
Take advantage of data driven processes and workflows to streamline maintenance and support operations across your machine fleet.
Automatic Workflows
Eliminate manual processes by leveraging real-time machine data and events to create automatic workflows such as smart maintenance work orders.
Preventative Maintenance
Configure smart workflows that generate maintenance actions driven by machine utilization parameters, alarms, events, and calendar-based scheduling.
Events & Notifications
Receive critical email and text notifications for all monitoring machines and equipment. Configure notifications based on users, groups and shifts.
Powered by Machine Learning
Take advantage of powerful machine learning algorithms that automatically monitor and analyze your machine sensor data to identify anomalies and patterns within large data sets.
Integrated ML Solution
Our machine learning module is integrated within our software platform without the need to install additional software or plug-ins. *No additional cost to customers.
Dynamic Data
Trainer
Configure the data trainer to retrieve machine data at scheduled intervals for the re-training of the anomaly detection engine.
Anomaly
Detection
Leveraging popular machine learning models such as HBOS, KNN and LOF; the anomaly detection engine identifies sensor data anomalies to trigger intelligent workflows.
Flexible Data
Model
Open data model structure to process multiple type of machine sensor data payloads regardless of hardware manufacturer or data source.