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Kevin Urbanski
Co-Founder and CTO at Rithmik Solutions, P.Eng.
Kevin Urbanski is a prominent figure in the mining technology sector, serving as the Co-Founder and Chief Technology Officer (CTO) of Rithmik Solutions, a company that leverages artificial intelligence (AI) to enhance equipment monitoring and maintenance in the mining industry. He holds a Professional Engineer (P.Eng.) designation and is based in Montreal, Quebec, Canada.
Professional Background
Urbanski co-founded Rithmik Solutions in 2018, where he has played a key role in developing the Asset Health Analyzer, a cloud-based software designed to monitor mining equipment in real-time for signs of wear and tear. His work focuses on using AI to extract actionable insights from vast amounts of sensor data collected from mining operations, which helps prevent equipment failures and optimize maintenance practices .123
Before establishing Rithmik Solutions, Urbanski gained extensive experience in the mining sector through various roles:
- CEO at Rithmik Solutions Inc. from February 2018 to September 2019.
- Senior Technical Analyst at Teck Resources Limited, where he led initiatives to improve payload throughput efficiency across multiple mine sites .13
- Systems Integrator/Technical Lead at Matrikon/Honeywell, where he contributed to developing systems for monitoring mobile mining equipment .13
Urbanski's educational background includes a Bachelor's degree in Computer Engineering from the University of Alberta (2000-2004) .1
Contributions and Vision
Urbanski is passionate about integrating AI into mining operations, believing it can significantly enhance operational efficiency. He emphasizes the need for continuous learning and adaptation in the rapidly evolving field of AI. His insights into the challenges of implementing technology in traditional industries highlight his commitment to fostering innovation while addressing workforce concerns related to automation .245
In recent interviews, Urbanski has discussed the potential of AI to transform mining practices, stating that it can help optimize not just equipment maintenance but also broader operational processes. He advocates for a balanced approach that combines technological advancement with human expertise to maximize productivity and safety in mining environments .34