$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
Problem Statement
The business case starts where manual work, downtime, and data isolation become measurable drag on production.
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.
Klyff enables on-device predictive maintenance. Continuous condition monitoring with vibration, temperature, and acoustic signals uses ML-powered diagnostics to detect equipment stress before failure without cloud costs.
How It Works
Klyff runs intelligence close to machines, cameras, and production data so teams can act quickly without cloud complexity.
Where It Fits
Common equipment, lines, and facilities where Klyff can improve inspection, uptime, or cross-site learning.
Pumps, motors, and compressors
Belt drives and transfer equipment
Bearing assemblies and drive trains
Critical line equipment
Facility systems and utility equipment
Case Study
Company context, operating challenge, Klyff deployment approach, measurable results, and customer feedback.
Selected Customer Success Stories
Explore how teams are using Klyff to improve quality, safety, and operational performance in the field.
Case Study
Learn how Klyff deployed an on-device continual learning loop on ARM Cortex-M7 gateways, achieving a 40% reduction in false positives and automatically adapting to machine aging without cloud retraining.
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Case Study
Discover how Klyff deployed quantized CNNs on Hailo-8 edge accelerators at the glass level, dropping inspection latency from 120ms to 8ms and saving an estimated $12,000/month per line in rework costs.
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Case Study
See how Klyff deployed an ATEX-certified, privacy-by-design safety agent that localizes and scrubs human faces at the source, reducing safety incidents by 34% with zero PII leaving the edge.
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Insights
Connect your first site, deploy your first model, and see measurable ROI in weeks, not months.
