Somewhere in Your Plant, the Next Breakdown Is Already Developing
The only question is whether you'll find it before it shuts you down. Chladni detects mechanical degradation weeks before failure — using physics, not guesswork
The only question is whether you'll find it before it shuts you down. Chladni detects mechanical degradation weeks before failure — using physics, not guesswork
See How It Works — Book a 30-Min Call
See How It Works — Book a 30-Min Call
180-Day Money-Back Guarantee · No Data Science Team Required · Works on Your Existing Sensors
What Chladni Gives You That Your Current System Doesn't
Chladni delivers the intelligence layer modern factories rely on.
Deterministic Reliability
Deterministic Reliability
Stop reacting. Start governing. Identify mechanical degradation weeks in advance—validated by physics and machine learning.
Stop reacting. Start governing. Identify mechanical degradation weeks in advance—validated by physics and machine learning.
Process Integrity & Yield
Process Integrity & Yield
Stable machines create stable products. Detect micro- instabilities that cause scrap, rework, or throughput loss.
Stable machines create stable products. Detect micro- instabilities that cause scrap, rework, or throughput loss.
Operational Decarbonization
Operational Decarbonization
ESG targets are impossible when assets operate blindly. Detect energy drift at the source—misalignment, friction, and load anomalies.
ESG targets are impossible when assets operate blindly. Detect energy drift at the source—misalignment, friction, and load anomalies.
Automated Compliance
Automated Compliance
Instant, audit-ready logs. Every inspection and anomaly recorded automatically for FDA, ISO, EPA governance.
Instant, audit-ready logs. Every inspection and anomaly recorded automatically for FDA, ISO, EPA governance.
Deterministic Reliability
now what's failing before it fails — and why. Chladni learns your machines' unique baseline and cross-checks every anomaly against real mechanical physics. Your team only hears from us when something is genuinely wrong.
Process Integrity & Yield
Process variation starts with mechanical instability. Chladni detects the micro-deviations that cause scrap and rework before they show up in your quality reports.
Operational Decarbonization
ESG targets are impossible when assets operate blindly. Detect energy drift at the source—misalignment, friction, and load anomalies.
Automated Compliance
Instant, audit-ready logs. Every inspection and anomaly recorded automatically for FDA, ISO, EPA governance.
The Industrial Intelligence Layer Your Enterprise Has Been Missing
Chladni delivers the intelligence layer modern factories rely on.
How Chladni Works (Without the Technical Noise)
Chladni uses a dual-engine architecture trusted by engineers and validated by science.
Machine Learning
Detects subtle deviations from normal operation baselines.
Machine Learning
Detects subtle deviations from normal operation baselines.
Physics-Based Models
Confirms severity, root cause, and mechanical context.
Physics-Based Models
Confirms severity, root cause, and mechanical context.
Inference Layer
Turns raw physics into business decisions
Inference Layer
Turns raw physics into business decisions
ERP/EAM Integration
Aligns SAP, Maximo, and your reliability workflows automatically
ERP/EAM Integration
Aligns SAP, Maximo, and your reliability workflows automatically
180 Days to Prove It. Or Your Money Back.
We are confident enough in what Chladni does to back it with a 180-day full money-back guarantee. Deploy on your existing sensors, receive your first alert within week one, and evaluate with real data from your own plant.
Built for Scale. Proven Across Industries.
Whether you operate 1 plant or 150, Chladni provides:
1
Standardized reliability governance
1
Standardized reliability governance
Standardized reliability governance
2
Consistent quality oversight
2
Consistent quality oversight
Consistent quality oversight
3
Unified energy visibility
3
Unified energy visibility
Unified energy visibility
4
Global performance benchmarking
4
Global performance benchmarking
Global performance benchmarking
This is how leading manufacturers align operations across continents.
Frequently Asked
Questions
How do you monitor the data to deliver Predictive Maintenance, Yield, and Energy savings?
Yes. We provide and deploy all the necessary hardware to monitor your assets.
You do not need to source your own sensors or worry about integration. Chladni deploys a proprietary, turnkey sensing layer that feeds directly into our intelligence platform.
Once the data is flowing, our system processes it through our unified physics engine to deliver three specific outcomes:
Predictive Maintenance: We detect mechanical degradation early to prevent unplanned downtime.
Yield Improvement: We identify process instabilities that lead to defects, allowing you to protect product quality in real-time.
Energy Optimization: We isolate inefficient assets and operational waste to directly lower your consumption costs.
We handle the hardware, the data, and the analysis. You simply receive the actionable intelligence needed to run a better factory.
Do I need to rip out my existing sensors to use Chladni?
No. Chladni is hardware-agnostic. We ingest data from your existing vibration sensors, SCADA historians, or PLCs via standard industrial protocols (OPC-UA, MQTT). If you have "dark assets" with no sensors, we can deploy our own rapid-install wireless nodes to bridge the gap.
How do I know the AI isn't hallucinating a fault?
We don't rely on "Black Box" AI. Chladni uses a Physics-First Validation engine. When our ML detects an anomaly, our physics engine cross-references it against mechanical realities (bearing frequencies, thermal limits, motor curves). If the physics don't match the math, we don't alert you. You get fewer alarms, but higher accuracy.
My machines are 20+ years old and analog. Will this work?
Yes. In fact, older machines often show the clearest "Drift" signals. We can retrofit non-invasive sensors (Vibration & Amp Clamps) to legacy assets in minutes, instantly turning a 1990s pump into a smart, data-generating asset without touching the machine's internal controls.
Do I need a team of Data Scientists to run this?
Zero. Chladni is an Automated Intelligence Layer, not a toolkit. We do not hand you a messy dashboard and ask you to analyze the charts. We hand you a Diagnostic Report with a clear root cause (e.g., "Bearing Inner Race Defect") and a recommended action. Your team fixes machines; our system handles the data.
How does vibration monitoring actually reduce my energy bill?
Friction is energy waste. A misaligned shaft or a degrading bearing forces the motor to draw more current to do the same amount of work. By detecting these mechanical inefficiencies early (the "Drift" phase), Chladni allows you to correct the physics of the machine, directly lowering its amp draw and cutting wasted energy costs by 5-15%.
How do you monitor the data to deliver Predictive Maintenance, Yield, and Energy savings?
Yes. We provide and deploy all the necessary hardware to monitor your assets.
You do not need to source your own sensors or worry about integration. Chladni deploys a proprietary, turnkey sensing layer that feeds directly into our intelligence platform.
Once the data is flowing, our system processes it through our unified physics engine to deliver three specific outcomes:
Predictive Maintenance: We detect mechanical degradation early to prevent unplanned downtime.
Yield Improvement: We identify process instabilities that lead to defects, allowing you to protect product quality in real-time.
Energy Optimization: We isolate inefficient assets and operational waste to directly lower your consumption costs.
We handle the hardware, the data, and the analysis. You simply receive the actionable intelligence needed to run a better factory.
Do I need to rip out my existing sensors to use Chladni?
No. Chladni is hardware-agnostic. We ingest data from your existing vibration sensors, SCADA historians, or PLCs via standard industrial protocols (OPC-UA, MQTT). If you have "dark assets" with no sensors, we can deploy our own rapid-install wireless nodes to bridge the gap.
How do I know the AI isn't hallucinating a fault?
We don't rely on "Black Box" AI. Chladni uses a Physics-First Validation engine. When our ML detects an anomaly, our physics engine cross-references it against mechanical realities (bearing frequencies, thermal limits, motor curves). If the physics don't match the math, we don't alert you. You get fewer alarms, but higher accuracy.
My machines are 20+ years old and analog. Will this work?
Yes. In fact, older machines often show the clearest "Drift" signals. We can retrofit non-invasive sensors (Vibration & Amp Clamps) to legacy assets in minutes, instantly turning a 1990s pump into a smart, data-generating asset without touching the machine's internal controls.
Do I need a team of Data Scientists to run this?
Zero. Chladni is an Automated Intelligence Layer, not a toolkit. We do not hand you a messy dashboard and ask you to analyze the charts. We hand you a Diagnostic Report with a clear root cause (e.g., "Bearing Inner Race Defect") and a recommended action. Your team fixes machines; our system handles the data.
How does vibration monitoring actually reduce my energy bill?
Friction is energy waste. A misaligned shaft or a degrading bearing forces the motor to draw more current to do the same amount of work. By detecting these mechanical inefficiencies early (the "Drift" phase), Chladni allows you to correct the physics of the machine, directly lowering its amp draw and cutting wasted energy costs by 5-15%.
How do you monitor the data to deliver Predictive Maintenance, Yield, and Energy savings?
Yes. We provide and deploy all the necessary hardware to monitor your assets.
You do not need to source your own sensors or worry about integration. Chladni deploys a proprietary, turnkey sensing layer that feeds directly into our intelligence platform.
Once the data is flowing, our system processes it through our unified physics engine to deliver three specific outcomes:
Predictive Maintenance: We detect mechanical degradation early to prevent unplanned downtime.
Yield Improvement: We identify process instabilities that lead to defects, allowing you to protect product quality in real-time.
Energy Optimization: We isolate inefficient assets and operational waste to directly lower your consumption costs.
We handle the hardware, the data, and the analysis. You simply receive the actionable intelligence needed to run a better factory.
Do I need to rip out my existing sensors to use Chladni?
No. Chladni is hardware-agnostic. We ingest data from your existing vibration sensors, SCADA historians, or PLCs via standard industrial protocols (OPC-UA, MQTT). If you have "dark assets" with no sensors, we can deploy our own rapid-install wireless nodes to bridge the gap.
How do I know the AI isn't hallucinating a fault?
We don't rely on "Black Box" AI. Chladni uses a Physics-First Validation engine. When our ML detects an anomaly, our physics engine cross-references it against mechanical realities (bearing frequencies, thermal limits, motor curves). If the physics don't match the math, we don't alert you. You get fewer alarms, but higher accuracy.
My machines are 20+ years old and analog. Will this work?
Yes. In fact, older machines often show the clearest "Drift" signals. We can retrofit non-invasive sensors (Vibration & Amp Clamps) to legacy assets in minutes, instantly turning a 1990s pump into a smart, data-generating asset without touching the machine's internal controls.
Do I need a team of Data Scientists to run this?
Zero. Chladni is an Automated Intelligence Layer, not a toolkit. We do not hand you a messy dashboard and ask you to analyze the charts. We hand you a Diagnostic Report with a clear root cause (e.g., "Bearing Inner Race Defect") and a recommended action. Your team fixes machines; our system handles the data.
How does vibration monitoring actually reduce my energy bill?
Friction is energy waste. A misaligned shaft or a degrading bearing forces the motor to draw more current to do the same amount of work. By detecting these mechanical inefficiencies early (the "Drift" phase), Chladni allows you to correct the physics of the machine, directly lowering its amp draw and cutting wasted energy costs by 5-15%.
Chladni is the infrastructure enabling the transition.
Right now, something in your plant is developing silently. The signal is already there. The question is whether you have a system that can read it.
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