Predictive Maintenance on Edge
$250K-$500K annual savings per production line
Problem Statement
Unexpected equipment failures cost manufacturers millions in lost production. Reactive maintenance is expensive. Preventive maintenance over-services. Predictive maintenance is the answer—but traditional cloud approaches are slow and expensive.
Solution
Klyff enables on-device predictive maintenance. Continuous condition monitoring (vibration, temperature, acoustic) with ML-powered diagnostics. Detect equipment stress before failure—without cloud costs.
$250K-$500K
Annual savings per production line
70%
Reduction in Unplanned Downtime
6 Months
Payback period thus resulting in immediate ROI
15-20%
Improved production efficiency
How It Works
Rotating machinery Pumps, Motors, Compressors
Conveyor systems and belt drives
Gearboxes and bearing assemblies
Production line equipment
HVAC & facility systems
Case Study
Company: Industrial Manufacturing Plant
Industry: Heavy Equipment Manufacturing
Challenge: $150K/month in unplanned downtime from pump and motor failures
Solution: Klyff predictive maintenance on 20 edge devices (STM32H7 microcontrollers)
Results:
- 70% reduction in unplanned downtime
- $400K annual savings
- 3-month ROI
- Early detection prevented 12 critical failures (worth $500K+ in lost production)
“The ROI was obvious within the first 2 months. We caught a failing pump 2 weeks before it would have stopped production completely. That one detection paid for the entire system.”
— Operations Manager, Industrial Manufacturing
Selected Customer Success Stories
Adaptive Predictive Maintenance
Solder Joint Inspection
PPE Compliance in Chemical Plant
Our Insights to keep you ahead
A Comprehensive Guide to Edge AI in Manufacturing
Every Kilobyte counts in Edge AI
