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At SquareML.ai, we have leveraged machine learning (ML) and artificial intelligence (AI) to develop a no-code data analytics platform that provides healthcare organizations the ability to create various types of data analytics, including predictive analytics, to solve complex problems faced by their organizations. Our platform accelerates healthcare organizations' ability to derive insights and efficiency gains by offering a customizable suite of analytics models, tailored to each organization's unique needs. Through informed, data-driven decision-making facilitated by SquareML.ai, clients can achieve cost reduction and elevate the quality of care delivered to their patients/members, empowering them to adapt and excel in today's dynamic healthcare environment. The SquareML.ai platform stands out for its unique combination of features, offering unparalleled flexibility and functionality. Unlike traditional platforms, SquareML.ai requires no coding and seamlessly integrates with any data format or type. It is a multi-point solution encompassing ML/AI-driven analytics and dashboarding, a rules-based IoT interface, and a next-best action feature for patient engagement—all within one customizable platform. Few competitors offer such comprehensive capabilities, with only 15% of AI-based healthcare analytics platforms providing multi-point solutions. With our platform, healthcare organizations can unlock new levels of efficiency and effectiveness, while addressing diverse use cases across the healthcare landscape. Key Differentiators: • Seamless Data Integration of Various Formats • Data Silo Elimination • Ability to Process Structured & Unstructured Data • Highly flexible and able to take on large amounts of data • Short Implementation Cycle • Out-of-the-Box Machine Learning Analytics Models & Dashboards

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Scot McCoy is the vice President of Skes of SquareML.

6 people are employed at SquareML.

SquareML is based in Jersey City, New Jersey.

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