Tractian is the Industrial Copilot for maintenance and reliability, combining hardware and software solutions to monitor asset performance, manage industrial operations, and implement predictive maintenance strategies. Its AI-driven platform empowers businesses to prevent unplanned equipment downtime and boost production output. The company is headquartered in Atlanta, GA, and extends its presence globally with offices in Mexico City and Sao Paulo. Learn more at tractian.com.
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SafetyCulture is a mobile-first operations platform that gives you the knowledge, tools, and processes you need to work safely, meet higher standards, and improve every day, offering a better way to work.
What started as a digital checklist app has evolved into a platform for conducting inspections, raising and resolving issues, managing assets, and training teams on the go.
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SmartCBM
SmartCBM, developed by Allied Reliability, serves as a holistic condition-based maintenance solution aimed at identifying potential component failures that can result in unexpected operational halts or excessive costs. By leveraging advanced predictive maintenance technologies, along with process data, statistical process control, and data analytics, SmartCBM facilitates the design, implementation, execution, and optimization of maintenance strategies, ultimately enhancing the uptime and dependability of your machinery. The platform accommodates a variety of data collection techniques, such as manual route-based, sensor-based, inline, and wireless periodic monitoring, thus providing a comprehensive and economically viable approach tailored to the specific needs of each asset. Moreover, SmartCBM includes an array of proprietary tools for thorough monitoring and reporting of asset conditions, which aids in formulating maintenance strategies that address design-failure modes, thereby improving equipment reliability and availability. Its versatility and effectiveness make it an indispensable tool for organizations seeking to enhance their maintenance processes and reduce operational risks.
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Senseye PdM
Senseye PdM employs advanced proprietary machine learning techniques to anticipate potential asset failures before they occur. By automatically evaluating the performance of your machinery, Senseye can accurately forecast when maintenance should be performed. This allows maintenance teams to prioritize their efforts on the assets that require the most urgent care. With an easy-to-implement solution, organizations can reduce maintenance expenses while enhancing the accuracy of downtime predictions. Designed for scalability, Senseye PdM can accommodate any number of connected machines, whether large or small. The automated condition monitoring provides insights that emphasize only the most pertinent information. Users gain an understanding of how long their machinery is expected to operate before maintenance is necessary. The platform allows for the seamless analysis of tens of thousands of assets, providing a clear and ongoing indication of which machines need attention. Furthermore, Senseye ensures that industrial companies experience significant reductions in machine downtime, ultimately leading to enhanced operational efficiency and productivity.
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