Who We Are

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Who We Are

Ordinary Data, Extraordinary Insights

Founded in 2009, Medial EarlySign is the brainchild of three pioneers who sought to apply advanced mathematical algorithms and artificial intelligence technology to detect early warning signals and health risks in simple medical data across billions of dormant electronic health records, spanning decades of information. Adapting a technology initially implemented on algorithmic trading platforms, the technology experts behind Medial EarlySign applied world-leading cognitive, mathematical principles to expose hidden patterns – what we call the ‘blind spots’ – in ordinary EHR data. By exposing these hidden signals, Medial EarlySign enables healthcare providers to identify risks for critical threats, leading to potentially life-changing diagnoses for millions of patients every single day.



The exponentially growing amount of Big Data that resides in medical systems may appear mute, yet a closer look reveals that hidden among the billions of EHR files are abnormal and subtle patterns evolving over time, with the capacity to eventually become life-altering prognoses. The story of modern medicine as we know it is rapidly changing thanks to new algorithmic capabilities that can expand our clinical perspective and redefine the way the roles and capabilities of health practitioners. These capabilities enable healthcare providers to leverage data, focus on delivering better patient outcomes, and offer opportunities for life-saving, personalized treatments.


Leveraging our predictive algorithmic engines (AlgoMarkers™), we work in collaboration with leading healthcare organizations to filter through millions of patient records amounting to decades of EHR data. This enables Medial EarlySign to deliver unmatched clinical rigor and algorithmic insights that empower medical professionals with proactive, predictive and personalized care capabilities.


At the heart of our technology is a proprietary machine-learning toolset that we custom built to work with large-scale medical databases. The technology supports the entire life-cycle of AI-based, machine learning model creation with groundbreaking efficiency. Our risk predictor solutions indicate the likelihood of being diagnosed with specific medical conditions, “red flagging” patients at highest risk for life-altering outcomes within a specific time period.


The clinical rigor behind the unprecedented insight that these ‘red flags’ offer is a clear indication of the potential to deliver smarter, time-sensitive and more accurate healthcare solutions. Medial EarlySign’s solutions offer a chance to transform risk probabilities for medical conditions into life-saving opportunities. Our achievements thus far are an ‘early sign’ of healthcare’s future.