Razor Labs
Daniel Feldman is a seasoned software professional with extensive experience in various roles within the technology sector. Currently, Daniel serves as a Software Group Leader and Algorithms Team Lead at Razor Labs, where Daniel has been since February 2018, and has also worked as a Deep Learning Engineer. Prior to this, Daniel was a Software Engineer at Elisra from April 2014 to March 2015, excelling as a full stack developer. Daniel began a career in software engineering with the Israel Defence Forces from March 2009 to February 2014, specializing as a C++ developer. Daniel holds a Bachelor of Science degree in Computer Science and Psychology from Tel Aviv University, completed in 2017.
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Razor Labs
Razor Labs' Sensor Fusion-based Predictive Maintenance solutions are helping mining industry leaders minimize equipment failure, avoid downtime, and increase equipment reliability. By integrating data from multiple sensors such as cameras, oil, vibration, pressure, temperature, and current sensors, we not only predict equipment failures but can also identify the root causes of impending failures accurately. Our predictive maintenance solutions drive value for mining companies, mitigating unplanned downtime, enhancing productivity, reducing emissions, and improving staff safety. Razor Labs is publically traded on the Tel Aviv stock exchange and has offices in Perth, Sydney, and Tel Aviv. Razor Labs solutions are implemented at numerous mining sites in Western Australia and South Africa. Our commitment to excellence has been recognized by industry experts, with CB Insights naming us one of the leading mining tech companies. As a leading mining tech company publicly traded on the Tel Aviv Stock Exchange, Razor Labs operates globally with offices in Perth, Sydney, and Tel Aviv. Our commitment to excellence is evident in successful implementations at mining sites in Australia and South Africa, recognized by CB Insights.