EnsoData is a healthcare technology company based in Madison, Wisconsin, founded in 2015. The company specializes in AI-powered software solutions that enhance sleep medicine by connecting diagnosis to therapy for sleep disorders, such as sleep apnea. EnsoData utilizes artificial intelligence and machine learning to analyze sleep study waveforms, improving diagnostics, monitoring, and treatment for millions of people affected by sleep disorders worldwide. The core platform, EnsoSleep, is an FDA-cleared, cloud-based software suite designed for automated sleep scoring and analysis of various sleep studies. It features AI-powered scoring that significantly reduces study scoring time, customizable reports, and study management tools that integrate seamlessly into existing workflows. EnsoData's solutions aim to simplify the sleep care pathway, enhance accuracy, and support scalability for sleep clinics of all sizes. The company has positively impacted over 2.5 million patients, improving turnaround times and clinical quality in sleep medicine.
EnsoData is a healthcare technology company based in Madison, Wisconsin, founded in 2015. The company specializes in AI-powered software solutions that enhance sleep medicine by connecting diagnosis to therapy for sleep disorders, such as sleep apnea. EnsoData utilizes artificial intelligence and machine learning to analyze sleep study waveforms, improving diagnostics, monitoring, and treatment for millions of people affected by sleep disorders worldwide. The core platform, EnsoSleep, is an FDA-cleared, cloud-based software suite designed for automated sleep scoring and analysis of various sleep studies. It features AI-powered scoring that significantly reduces study scoring time, customizable reports, and study management tools that integrate seamlessly into existing workflows. EnsoData's solutions aim to simplify the sleep care pathway, enhance accuracy, and support scalability for sleep clinics of all sizes. The company has positively impacted over 2.5 million patients, improving turnaround times and clinical quality in sleep medicine.
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