SYDNEY, Australia — December 10, 2025 — Leads & Copy — Razor Labs (TASE:RZR) has released DataMind AI™ 4.5, an upgraded predictive maintenance platform designed for mobile fleet management and fixed assets in mining operations.
According to the company, Version 4.5 was developed through continuous collaboration with dozens of global mining sites and offers clearer diagnostics, faster insights, and stronger visibility for maintenance and reliability teams.
CEO of Razor Labs, Raz Roditti, stated that Version 4.5 was shaped together with dozens of mining sites operating mobile fleets and fixed assets. Roditti said it delivers what maintenance teams need: clearer visibility, faster diagnostics, and stronger predictive maintenance capabilities.
The new version provides engineers with a unified view of asset health, combining fault diagnostics derived from sensor health data with maintenance information, allowing teams to identify root causes faster and take action sooner, according to the company.
Version 4.5 provides access to raw vibration, oil, temperature, and pressure data, along with advanced envelope RMS and full-spectrum insights, including harmonics and sidebands. This enriched health data foundation supports deeper, more accurate fault diagnostics and asset health assessments for reliability engineers, the company stated.
According to the company, for reliability engineers, this means deeper condition monitoring, more accurate diagnostics, improved failure prediction, and higher confidence for maintenance decisions.
With upgraded thresholds, flexible alarm filtering, enhanced work-order visibility, and stronger links to investigation workflows, DataMind AI™ 4.5 improves day-to-day monitoring and accelerates issue resolution. Improved sensor search, timestamp comparison, and smoother navigation help teams understand events and validate equipment issues in minutes, speeding up investigations and reducing unplanned downtime across both mobile fleets and fixed plant assets, the company stated.
VP Product, Assaf Eden, said that DataMind AI 4.5 gives reliability engineers a simpler, more powerful way to manage the vast amount of sensor data in reliability, delivering clearer asset health visibility across all mining equipment. Eden stated that this enables fast work from investigation to maintenance actions, ensuring issues are resolved sooner, and operations stay productive.
DataMind AI™ 4.5 combines raw sensor intelligence, full diagnostics, advanced alarm management, fault aggregation, AI insights, and maintenance history into one seamless experience. This makes DataMind AI™ a predictive maintenance platform that delivers deep insights, transparency, and cross-asset connectivity across mobile fleets and fixed assets across the industry, according to the company.
DataMind AI™ 4.5 is now available for all customers globally, supporting predictive maintenance for mobile fleets and fixed industrial assets.
Ms. Liel Anisenko can be reached at pr@razor-labs.com or +972 (03) 561-0901.
Source: Razor Labs
