Presidio, in partnership with Google Cloud, developed a predictive rail maintenance solution that transforms transit safety and efficiency. By retrofitting subway cars with Google Pixel smartphones, they capture GPS, accelerometer, gyroscope, and audio data to detect track anomalies. Analyzing over 150 million sensor readings and 750 hours of audio, AI models identify 92 percent of new nonconformities in near real time and predict future issues for proactive repairs. This reduces worker exposure to risk, optimizes maintenance, lowers costs, and prevents delays. Tools like TrackInspect empower inspectors with real-time insights, improving decision-making and reliability.

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