Treon Make
Intelligent predictive maintenance for industrial manufacturing
AI-powered solution for critical equipment to reveal issues early, extend asset life, reduce maintenance costs and enable predictive and prescriptive maintenance.
Treon Make
Keep your manufacturing running without delay
Maintain production continuity through in-depth, condition-based monitoring and data-driven equipment failure forecasting.
Key benefits
- Spot failures early and act before small anomalies turn into breakdowns.
- Plan maintenance better by repairing at the right moment and fitting work into planned downtime.
- Cut outages and costs through fewer emergencies and more efficient use of crews.
From reactive maintenance to proactive reliability
Treon Make empowers your team to prevent downtime and prove ROI through a comprehensive predictive maintenance solution which includes sensors & gateways, cloud connectivity, AI analytics, and web & mobile applications. Build to scale and easy to integrate with existing systems, this is how Treon Make works:
Treon Industrial Node X, a state of the art wireless sensor, continuously monitors machinery and captures vibration, temperature, and other critical parameters to detect anomalies and degradation patterns.
Treon Gateways transmit sensor data to Treon Connect backend for analysis.
Data is analysed in Treon Connect backend based on vibration standards and AI algorithms which identify fault types and severity.
Historical data and equipment performance trends enable predictive insights in Treon Connect applications. Furthermore, technicians can execute automated maintenance tasks and close the loop between predictive insights and corrective action via a mobile app.
The building blocks of Treon Make
Built on the Treon Connect platform and powered by industry-leading products, Treon Make adapts to your needs and enables you to implement the predictive maintenance strategy that best suits your goals.
Treon Connect
The Treon Connect platform unifies data from diverse assets, enables AI-driven analytics and workflow automation, and delivers seamless integrations with existing systems.
Treon Industrial Node X
Treon Industrial Node X performs deep diagnostics and fault characterization enabling early fault detection to avoid unplanned outages and production losses.
Treon Gateway
The Treon Gateway collects, processes, and securely transmits data from sensors to Treon Connect or any cloud backend over a wide range of wired and wireless connectivity.
Industries
Optimize maintenance resources, streamline spare parts inventory, reduce the need for manual inspections, across diverse assets and industries.
Manufacturing
Energy & Utilities
Oil & Gas
Pulp & Paper
WHO IT'S FOR
Built for every role in your team
Plant Managers
Gain complete asset visibility, track ROI with real-time cost savings, and integrate seamlessly with your existing systems to avoid data silos.
Maintenance Managers
Optimize resources allocation and turn AI alerts into actionable work orders to streamline maintenance management.
Maintenance Technicians
Guide your technicians to the right point of work, empower them to perform tasks at the right time and simplify reporting through a mobile interface.
Ready to cut costs with data-driven decision making?
Unlike legacy tools, our platform combines native hardware, AI analytics, and mobile-first apps for fast deployment and execution-first design.
Talk to salesFAQ
Certainly! We recognize the vital role of wired solutions in providing continuous monitoring for critical assets and machinery. Our wireless solution is designed to seamlessly complement your existing wired solutions, enabling you to integrate both technologies. This hybrid approach allows you to monitor less to moderately critical machinery efficiently and offer a comprehensive solution to your customers.
Treon’s solutions are versatile and adaptable, designed to monitor a wide range of machinery and equipment. Our wireless sensors are particularly effective for medium and less critical machinery, which includes various types of equipment such as bearings, motors, compressors, conveyor belts, pumps etc..
Predictive maintenance (PdM) is work that is scheduled in the future based on analysis of sensor measurements and formulas. Condition-based maintenance (CbM) is work that is performed at the exact moment when measured parameters reach unacceptable levels.
