Razor Labs

DataMind AI 4.1 offers faster insights, smarter diagnostics, and streamlined workflows for mining and heavy industry teams.

Razor Labs and GIA developed an AI system to determine a diamond’s shape and cutting style.

Razor Labs highlighted how it uses “deep learning” to make machinery smarter, for more efficient operations and to enable predictive maintenance to be done – this artificial intelligence (AI) technology can often predict machine failures weeks in advance.

This update introduces groundbreaking features that enhance data accessibility, sensor fusion, and industry coverage, driving operational efficiency and reliability.

Razor Labs' CTO and Co-Founder, Michael Zolotov, was interviewed by Brett Baker, the Co-Founder of Torqn. In this engaging discussion, they explore Razor Labs' advanced predictive maintenance platform, DataMind AI, and its transformative impact on the mining sector.

When appropriately implemented, Condition Monitoring systems can have an immense positive impact on mining site operations. These are five key things to consider when introducing condition monitoring to ensure these programs succeed in providing value for mining sites.

The International Mining and Resources Conference (IMARC) promotes innovation, collaboration, and sustainable practices in the mining industry.

The Razor Labs Expert Series explores AI Sensor Fusion Predictive Maintenance and its impact on mining and industrial sectors with Michael Zolotov, Co-founder and CTO of Razor Labs.

Leveraging a private cellular network for dependable and swift communication to the cloud, the DataMind AI predictive maintenance platform is revolutionizing asset management and operational efficiency within the mining sector.

Razor Labs announced today that the leading global energy company had chosen the DataMind AI predictive maintenance solution.

Razor Labs Becomes the First AI Company on Tel Aviv Stock Exchange After Completing its Initial Public Offering And Raising $36 Million

Razor Labs announced that during the last quarter it has significantly deepened its engagement with the world's leading mining corporations by deploying its DataMind AI Predictive Maintenance platform at three leading mining and steel corporations in Australia and South Africa.

Razor Labs applies AI and machine learning to transform traditional industries into growth, efficiency, and sustainability opportunities.

A study by The National Center for Women & Information Technology found gender diversity benefits technology settings, prompting tech companies to invest in recruiting and retaining women.

Razor Labs has won multiple industry awards for its anomaly detection, predictive analytics, and industrial IoT solutions.

Investors Stock Info Presentations & Events Financial Reports Corporate Governance Stock Info RZR Stock Price Today by TradingView Presentations Date Lang Investors Webinar Recording, August 2024 August 19, 2024 Hebrew Investors Presentation, March 2024 March 12, 2024 Hebrew Investors Webinar Recording, March 2024 March 12, 2024 Hebrew Events Date Lang Notice to General Meeting of […]

Razor Labs partners with companies to offer DataMind AI for predictive maintenance in mining, metals, and industrial operations.

Razor Labs lists its operational offices in Australia, South Africa, United States, and Israel with contact details.

DataMind AI is a predictive intelligence platform designed to monitor and protect critical assets across mobile fleets, fixed assets, and visual systems.

This code of conduct (“Code”) sets out the basic principles that should be followed by all directors, senior executives and employees (“Company Personnel”) of Razor Labs Ltd. (the“Company”).

DataMind AI Terms and Conditions apply to proposals issued to customers, detailing work commencement and agreements between parties.

The Software as a Service Agreement sets Razor Labs Ltd.’s standard terms for providing services to customers.