Coddi offers an AI-driven platform for predictive maintenance and condition monitoring of industrial equipment. Its machine learning algorithms analyze operational data to detect potential failures proactively, minimizing unscheduled downtime and optimizing resource allocation for mining operations.
Funding
Funding not disclosed
Founders
Product
Problem
Industrial assets, particularly in the mining sector, experience unplanned downtime due to the reactive nature of traditional maintenance strategies. This leads to significant operational cost overruns and reduced equipment lifespan.
Solution
Coddi provides an AI-driven platform for predictive maintenance and condition monitoring of industrial equipment. The system leverages machine learning algorithms to analyze operational data, identifying subtle anomalies and patterns indicative of potential failures. This enables proactive scheduling of maintenance interventions, thereby minimizing unscheduled downtime and optimizing resource allocation. By enhancing equipment reliability and extending asset life, Coddi helps mining operations reduce overall operating expenditures and improve productivity.
Target Audience
Coddi's primary customers are mining companies and other industrial sectors requiring robust predictive maintenance and condition monitoring solutions for their high-value assets.
Features
- AI-powered predictive maintenance algorithms for early failure detection.
- Condition monitoring capabilities analyzing operational data streams.
- Cloud-based infrastructure ensuring scalability and continuous model improvement.
- An Inspections module for mobile-based structural and operational equipment assessments.
- Generative AI for automatic transcription of voice comments within the Inspections module.
- Security penetration testing certification (Pentest) validating data protection.
- Data analysis for identifying and alerting on critical operational states, such as zero-speed zones.