We offer a progressive plan to deploy Lesly. The technicians and their expertise are at the center of the process
Machines connexion, data collection and exploitation
Lesly data collect & Failures detection and influence parameters diagnosis
Lesly diagnosis & machine learning and remaning usefull life time
Lesly uses the data from your machines to improve their performance in order to reduce risks and operating costs.
Milling, turning, Bringing...
presses, rolling Mills, cables machines...
Conveyors, Position Sensors ..
With Lesly AI, we assist in data collection, failure diagnosis and corrective actions to restore your machines into operational condition. Relevant approach for complex machines such as high speed machine tools, low speed machines, and continuous processes.
Lesly AI is an edge computing solution. Deployed in an industrial PC or server, Lesly monitors all the equipment within the same machine network, regardless of the brand and of the data source. No cloud, no internet.
Our mechanical skills and our expertise in signal processing for machine monitoring and diagnosis guarantee the efficient results.
Lesly is an unsupervised AI, which characterizes the reference of machines components, anticipates the drifts, gives the data influence and estimates the residual life time.
Lesly monitors complex machines such as machine tools, low speed machines, and cycle time analysis of presence and position sensors, using the data available in the existing PLC or CNC.
Lesly uses the data available in the existing PLC, CNC or sensors to qualify the reference state of the machine components in a few weeks and starts monitoring immediately. The return on investment is fast.
You are autonomous in the deployment and exploitation of Lesly. User-friendly web interfaces allow you to configure your smart factory, to qualify a failure, to teach Lesly …
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In 2024, machine performance monitoring has become crucial for industrial companies in their quest for efficiency and competitiveness. With technological advances, it is now possible to collect and analyze data in real time for complete visibility of equipment operation. This article explores why this monitoring has become a strategic priority
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