Lesly verifies machine conformity. Cycle after cycle.
Improve your productivity and anticipate breakdowns with Lesly SmartFactory. The platform combines real-time production monitoring with machine health monitoring. Its AI learns your KM0 reference, measures deviations and transforms shop floor data into decisions to produce the correct part and replicate it.
Try Lesly for free. Your account gives you access to downloads, documentation and the machine library.
Lesly makes the difference. It brings together six technologies to connect and understand your machines, anticipate deviations and guide your decision-making. Discover how this will transform your workshop.
Choose a technology. Discover how it can make a difference for you.
Select a face of the cube to discover the technology, its advantages and the benefits it offers your teams.
Machine Health lies at the heart of Lesly: detecting deviations in your mechanical components, functional units and processes so that action can be taken before a failure occurs. The Performance module complements this intelligence by measuring production output and losses: a common basis for comparing ‘before’ and ‘after’ and then assessing the gains.
Mechanical components, functional units and industrial processes : Lesly monitors their behaviour and any deviations from their reference operating parameters. The scope is defined according to your specific requirements and the available signals, whether at the level of a component, a functional unit or a process.
The spindle shown is an example of an application in the machine cycle : acceleration, rotation under load and deceleration. Analysing these operational signatures helps to identify signs of deterioration in the bearings, shaft and tool holder, as well as anomalies linked to wear or breakage of the cutting tool, depending on the available signals. The same monitoring principle applies to other components and assemblies within your system.
The KM0 unsupervised on-board AI learns baseline operating behaviour without a labelled fault dataset, then measures deviations. It tracks degradation, highlights influential parameters and estimates remaining useful life with a confidence level to guide predictive maintenance.
The 3D digital twin locates areas requiring inspection. The LeslyIA co-pilot explains indicators in natural language and suggests checks. Your teams assess the diagnosis, plan the intervention and use field feedback to inform future decisions.
1BearingWear to monitor2TreeAbnormal vibrations3Tool holderImpact or play4ToolWear or breakageMachine tools, automated production lines and specialised machinery : Lesly monitors production using data available from your equipment. The CNC machine shown is an example; monitoring applies to your industrial cycles and processes, depending on the signals available.
Lesly automatically reconstructs the process cycle, production statuses and timelines. Productive times, waiting times, stoppages and micro-stops become measurable, without the need for operators to manually record data to reconstruct cycles. On the machining centre shown, monitoring covers loading, machining and unloading.
Follow the TRS / OEE, TRG and TEEP in real time. Identify cycles that are taking longer, variations in output rate and recurring stoppages. Compare time periods to pinpoint the causes affecting performance and measure the impact of your actions.
Quantify losses using your cost parameters. Production and maintenance teams have shared metrics to prioritise improvements, reduce downtime and make better use of workshop capacity.
TRS · TRGPerformanceProcess cycleConsistencyStatuses · DowntimeUptimeBuild your digital industrial asset. KM0 data, production histories, classified faults and service reports enhance your understanding of your machines. Your investment creates value that grows as the system is used.
Machine tools, robots, conveyors: make the most of data from your numerical control systems, PLCs, frequency converters and IoT sensors. Lesly consolidates this data into a unified format to power machine monitoring and predictive maintenance.
ILLUSTRATIVE SCENARIO From shop floor data to management decisions.
Drag the scene to explore the workshop and the control system.
CNC · PLC · DRIVE · IoT→LeslyBox→Monitoring
The reference points indicate the spindle, linear axis and motor monitored by Lesly.
CNC for machining, PLC for automation, DRIVE for drives and IoT for additional measurements: Lesly adapts to the data sources in your machine fleet. Data collection utilises the available interfaces, including OPC UA, FANUC FOCAS and IFM vibration sensors, depending on your equipment.
Installed in the workshop, LeslyBox collects, consolidates and analyses signals locally. Each piece of data is linked to its machine and component: your production data becomes a usable basis for monitoring performance and detecting anomalies.
With SmartFactory, the operator monitors production whilst maintenance teams prioritise checks via a shared view. Edge analysis stores machine data on-site; OT/IT data exchanges are configured according to your architecture and access rules.
Illustrative architecture: connections, OT/IT separation and data exchanges are tailored to each site. OT/IT best practice: NIST SP 800-82.
Connect, map, start: the guided tour simplifies commissioning. Begin with a representative machine, validate data collection and assess the benefits before rolling out Lesly across your entire machine fleet.
LeslyBox handles local analysis; SmartFactory organises your sites, machines and deployments. Our team will assist you in selecting the right signals, setting up the KM0 baseline and getting started.
Evaluate Lesly at my facility ↗Select the equipment and the pilot’s objectives: productivity, downtime or the health of a critical component. Connect the LeslyBox to compatible controllers and explore the available data.
Link the collected variables to the machines and components to be monitored. Mapping unifies your data sources to make sense of signals relating to speed, load, position or vibrations.
Start data collection: the monitoring system tracks production whilst AI learns the operating behaviour of the KM0 baseline. Validate the analyses with your teams, then use the metrics and alerts in your day-to-day operations.
Machine Health guides action; Performance measures its effects. The Performance module is essential for assessing Lesly’s ROI: it establishes a baseline and then enables a comparison of pre- and post-implementation figures using the same production indicators.
Compare similar production periods and conditions: scope, parts, working hours and workload. Measure changes in OEE, downtime, cycle times and costs, then compare the observed gains against the project cost. Distinguish the effects of actions guided by Lesly from other changes that have taken place on the shop floor.
Assess the return on investment based on three key factors:
The benefits are assessed for your specific operations, without double counting. Support continues as your machinery fleet evolves.
Try Lesly for free. Your account gives you access to downloads, documentation and the machine library.
Naval Group, FPT Powertrain, PCI Machining: find out how machine data analysis helps maintain precision, monitor wear and tear, and detect faults in production.
DEFENCE
A submarine blade requires several months of machining. Lesly monitors deviations in the spindle head to detect any misalignment that could affect accuracy.
The challenge: to take action before drift causes damage to a high-value component.
AUTOMOTIVE
Lesly helps to monitor wear and tear and anticipate faults before tolerances are exceeded. Feedback from the field also reports a lack of spindle grease detected seven days before the temperature sensors triggered an alert.
The challenge: to better target replacements and minimise unplanned downtime.
MACHINING
During this drilling operation, the power monitoring system did not detect the breakage. Lesly identified it using native data from the numerical control system: torques, axis currents and position.
The challenge: to utilise the available signals without adding any sensors in this particular case.
Results reported in the Lesly use case study dated 16 June 2026. They are specific to the conditions observed and do not constitute a guarantee of similar results. Machine illustrations are based on the document provided.
Which downtime do you want to reduce? Which component do you wish to monitor? Tell us about your equipment: we’ll help you define the scope, the appropriate modules and the success criteria for your Lesly project.