Coddi specializes in providing AI-based predictive maintenance services for high-value assets in the mining industry. Our services use advanced machine learning algorithms to analyze data on mining equipment. By detecting patterns and anomalies in the data, we can predict maintenance needs and schedule repairs proactively, helping mining companies optimize maintenance schedules, minimize equipment downtime, and save costs.

We offer a two-stage implementation process. During the first stage, which typically lasts between 12 and 16 weeks, we work with our clients to collect data on their mining equipment, including variables of operation, variables of condition, and maintenance events. This data is collected through APIs and other sources, and we use it to develop and validate our AI models. We recognize that some mining companies may have limited information on their maintenance and repair history, which can affect the accuracy of our predictive models. To address this challenge, we recommend implementing best practices for data collection and condition monitoring to improve data quality and quantity.

During the second stage, we offer our clients a SaaS model that provides them with weekly reports on their equipment's maintenance needs. Our dashboard presents the results of our analysis in a user-friendly way, making it easy for our clients to make informed maintenance decisions and prevent costly equipment failures. Our service has a recurring nature, which allows us to improve the model's accuracy over time, identify new failure modes, and increase data collection.

In summary, our company offers a comprehensive AI-based predictive maintenance service for high-value assets in the mining industry.

Coddi

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