Terry KS AUSTRALIA, 28 JULY 2026 – Razor Labs (TASE: RZR), a global leader in AI-powered predictive maintenance for mining, has announced the launch of DataMind AI 5.0, a major evolution of its predictive maintenance platform that expands predictive maintenance beyond early fault detection to support the complete maintenance decision-making process.
As mining operations become increasingly digital and equipment fleets grow in size and complexity, maintenance teams face mounting pressure to improve reliability while reducing unplanned downtime and maintenance costs. While artificial intelligence has transformed the ability to detect developing equipment failures, identifying a fault is only the beginning. Engineers must still investigate the issue, determine the appropriate response, coordinate maintenance activities, execute repairs and verify that equipment has safely returned to operation.
The new version bridges that gap by connecting AI-powered insights with the operational workflows that maintenance and reliability teams rely on every day. Powered by Razor Labs’ proprietary AI Sensor Fusion technology, the platform delivers a more connected approach to equipment health management, helping organizations move seamlessly from early detection through investigation, maintenance execution and verification across both mobile fleets and fixed assets.
Raz Roditti, CEO of Razor Labs, said predictive maintenance doesn’t end when AI detects a fault, noting that the real work begins at that point. He described DataMind AI 5.0 as an important milestone in the company’s vision for AI-powered predictive maintenance in mining, adding that mining companies need more than earlier detection; they need technology that helps maintenance teams make faster decisions, collaborate more effectively and confidently turn insights into action.
The release brings together AI-powered diagnostics, engineering investigation, maintenance collaboration and complete fault lifecycle management within a unified environment designed around the way maintenance organizations operate. By reducing the disconnect between identifying potential failures and resolving them, the platform aims to improve maintenance efficiency, operational visibility and decision-making at scale.
Assaf Eden, VP Product at Razor Labs, said maintenance teams don’t need more alerts but greater clarity, context and better workflows. He explained that Version 5.0 was designed around those day-to-day realities, helping teams investigate issues faster, collaborate more effectively and move from detection to resolution with greater confidence.
The release reflects Razor Labs’ continued investment in advancing AI-powered predictive maintenance for mining and reinforces the company’s commitment to helping mining organizations improve equipment reliability, reduce operational risk and transform maintenance through practical, scalable AI solutions. Version 5.0 is now available to Razor Labs customers worldwide.