DRIVECYCLE

is a comprehensive full-stack solution based on mathematics and machine learning, designed for monitoring and predicting failures of all data storage devices – from traditional hard drives to modern SSD and NVMe systems.
The software analyzes SMART parameters and time-series data in real time to automatically detect anomalies, identify high-risk devices, and provide an accurate estimate of when each device should be proactively replaced, before a complete operational failure occurs.
In doing so, the system extends the lifespan of storage devices, optimizes maintenance and procurement costs, and generates a significant positive financial impact for organizations managing large-scale data infrastructures.
Additionally, the solution contributes to reducing carbon dioxide (CO₂) emissions and improving energy efficiency, positioning itself as a key technology for Green IT and sustainable data infrastructure management.

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