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 …
The industrial sector is rapidly evolving towards digital transformation, and SMEs must adapt to stay competitive. Connected monitoring optimizes machine maintenance, boosts productivity, and reduces operational costs. Yet, 80% of industrial failures could be prevented with intelligent equipment monitoring. So, why wait? Machine Downtime: A Costly Issue for SMEs Every
Industry faces a dual challenge: improving productivity while reducing environmental impact. To meet these challenges, companies are adopting advanced technological solutions such as predictive maintenance, which optimizes equipment utilization and limits the waste of resources. By extending machine life and reducing energy consumption, this approach is fully in line with
In industry, predictive maintenance is essential to guarantee the performance of machine tools. This equipment, often used in demanding sectors such as aerospace, automotive and nuclear power, represents a major investment, sometimes in excess of one million euros. To maximize their return on investment, efficient maintenance management is essential. This
Schedule a conf call And We will Help You With Your machine downtime Issues