Know which machines need attention before they break.
Chladni monitors your machines 24/7 and warns your team when a problem starts developing.
What Chladni Does
See problems early. Fix them on your schedule.
/01
Watch Machines 24/7
Chladni continuously checks the health of your equipment.
/02
Find Problems Early
Detect issues before they turn into breakdowns.
/03
Know What To Do
Get a clear alert telling your team what machine needs attention and what to inspect.
How Chladni Works
Your machines are already telling you what’s happening.
Chladni turns those signals to answers.
Step 1
We Listen to the Machine
Wireless Chladni sensors read vibration straight off the equipment. Where it fits, Motor CurrentAnalysis adds a second view of the motor from the electrical panel.
Vibration + MotorCurrent
- No wiring runs.
- No technician walking routes every few weeks.
Step 2
We Learn What “Normal” Looks Like
Every machine behaves differently, so machine learning baselines each one’s own heartbeat and catches the moment it starts to change, and physics-based diagnostics validate what the AI seesand name the fault signature behind it.
- Not “did something change?” — “what changed, and whatfault is causing it?”
Step 3
Your Team Gets the Answer
One platform. Whole plant. One glance.
Nobody has to interpret vibration data — the screen says which machine needs attention, what’s developing, and what to donext
Maintenance is stressful enough without machines surprising you
What if you knew before it happened?
Predictive maintenance gives your team the one thing money can’t rush:
No More Firefighting
problems show themselves before they’re breakdowns.
No More Stress
no wondering which machine surprises you next.
No More Lost Production
developing problems fixed before expensive downtime.
More Planned Maintenance
your team controls the schedule. Not the machine
Chladni
The goal isn’t more maintenance. It’s fewer surprises.
Preventive schedules can’t tell you what’s happening inside a machine right now , which is why manufacturers keep moving to predictive and condition-based maintenance. Chladni is the visibility between your inspections, PMs and rounds.
What Chladni Does
Real Results. Real Teams.
Maintenance leaders rely on Chladni to keep their operations running.
Mondi — Paper & Packaging
“For us it’s mostly about avoiding disruption. When one of the main drives starts developing a problem, we now have time to look at it properly, get the parts on site and fit the repair into the production schedule. That is worth much more to us than simply knowing a machine has high vibration.”
Martin Keller — Maintenance Manager
Stora Enso — Pulp, Paper & Packaging
“The maintenance team used to come to me when something had already become urgent. Now a lot more of those conversations happen days or weeks earlier. We can decide when to stop the equipment instead of the equipment deciding for us.”
Johan Lindberg — Plant Manager
UPM — Forest & Paper Products
“I wasn’t looking for another system that just tells me vibration is high. What I wanted was enough information to understand whether the condition was actually changing and how quickly. Having that continuous history has made it much easier to decide what deserves an inspection and what can wait.”
Mikko Laine — Reliability Engineer
Borealis — Chemicals & Plastics
“One avoided production interruption can change the economics very quickly for us. The value isn’t really the sensor itself—it’s knowing about the problem while we still have options. We can coordinate production, maintenance and materials instead of dealing with everything during an emergency.”
Thomas Berger — Operations Manager
Solvay — Specialty Chemicals & Materials
“The guys actually use it. That was my biggest concern. We already have enough software in the plant. With Chladni they can open the system, see which machine needs attention and go look at it. It didn’t turn into another dashboard nobody checks after three months.”
Marc Dubois — Maintenance Supervisor
Huhtamaki — Packaging Manufacturing
“We didn’t start by putting it on every machine. We selected the equipment where a failure would hurt production the most and proved it there first. Once the team saw the alerts line up with what we were finding on the machines, expanding the program became a much easier conversation internally.”
Anna Korhonen — Reliability Manager
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Predictive maintenance should cover your plant.
Not just the few machines you canafford to monitor
Traditional approach
managed PdM solutions often run roughly
$2,000+ per asset per year
Hard to justify across hundreds of machines, so plants cover a small group and leave the rest dark.
Chladni
standard assets
from $79/month priced differently on purpose
The goal isn’t maximizing the price of every machine; it’s to deliver the highest ROI Tmaking it practical to monitor the critical and medium-critical equipment that still causes downtime. More machines monitored. Better visibility. Fewerblind spots.
© 2026 Chladni Industrial Systems · Predictive maintenance for motor-driven equipment