The target keeps slipping.
The line looks busy, but it’s running below capacity. Micro-stoppages hide inside the normal sequence.
Continuous line optimization. Powered by edge AI.
LineLens analyzes your existing PLC data in real time to find hidden micro-stoppages, identify root causes, and rank bottlenecks by impact. Your maintenance team gets a clear focus in weeks, not months.
For automated discrete manufacturing. Analysis stays on-site.
8 min × $75 / min × 500 shifts × 1 site
Estimated downtime cost based on your assumptions, applied equally across the selected sites. This is not a savings forecast.
01 / THE HIDDEN LOSS
SECONDS ADD UP.A fraction of a second at one station. A delay passed to the next. By the end of the shift, output is short, and your team is still trying to explain why.
The line looks busy, but it’s running below capacity. Micro-stoppages hide inside the normal sequence.
Stopwatches and spot checks capture a moment. The cause may have started several steps upstream.
You resolve one bottleneck. Another takes its place. Yesterday’s answer isn’t always today’s priority.
02 / A NEW WAY TO SEE YOUR LINE
FROM SPOT CHECKS TO CONTINUOUS INSIGHTLike having a thousand line optimization engineers watching every step, all the time. LineLens brings real-time insights from edge AI to the PLC data already on your factory floor.
A few experts observe a complex line. Between those observations, micro-stoppages can go unseen.
The delay may be over before anyone sees it.
Illustrative animation, not a product screen. The lighthouse observers represent analysis of available PLC step and state data. Your team decides and implements the fixes.
03 / SEE MORE. MAKE MORE POSSIBLE.
You have a limited maintenance team and only so many hours in the day. LineLens gives them a new superpower: a bullseye for where to focus, from the production line down to the exact step, ranked by impact.
Real-time insights pinpoint the root cause at the exact step. Bottlenecks ranked by impact show your team where its time can make the biggest difference.
04 / START WITH ONE LINE
Start with a scoped pilot on one line and agree up front on what success looks like. If the ROI supports scaling, scale. The numbers decide. No guesswork.
Agree on the output challenge, scope, and success criteria. Confirm PLC access and site approvals.
Edge AI analyzes live sequences, detects micro-stoppages, and identifies the root causes of delays.
Review the findings and financial case against your success criteria. Expand to more lines and sites only when the numbers say so.
Automotive & suppliers · Food & beverage · Heavy equipment · Appliances · Packaging
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A FEW PRACTICAL QUESTIONS
LineLens automates detection, analysis, and improvement prioritization. Your team decides and implements process changes. Read-only PLC access means LineLens does not write control commands. After a fix, it continues monitoring and updates the bottlenecks ranked by impact.
High-volume, sequenced lines with multiple cells, robots, or stations, where PLCs report step or state changes. A strong fit is a line running below rated capacity, with a meaningful cost for lost production time.
Your production data stays in your plant, under your site’s security controls, and remains yours. Edge AI analyzes it in real time inside your private network. Air-gapped operation keeps analysis disconnected from the internet, reducing external exposure. LineLens uses read-only PLC access and never writes control commands.
LineLens uses read-only PLC access to observe step and state changes. It does not write control commands to the PLC.
No. LineLens automates the analysis, reducing manual investigation and custom data modeling. Your controls and operations teams supply process knowledge and help define the evaluation goals.
The scoped pilot focuses on one line: ranking its bottlenecks by impact, seeing late steps, identifying the root causes of delays, and estimating lost time and financial impact. Agree on scope, duration, and success criteria up front. Use the pilot’s results and potential ROI to decide whether to scale.