Health at Scale is a healthcare machine intelligence company that uses proprietary advances in artificial intelligence and machine learning to optimize care delivery for individuals by empowering at-risk payers, employers and providers. Founded by machine learning and clinical faculty from MIT, Harvard, Stanford and U-Michigan, the company’s mission is to bring precision delivery to healthcare through personalized and predictive algorithms that match individuals to the next best action in real-time and when needed most -- whether it’s the ideal choice of treatment, an early intervention, or the right provider. Health at Scale’s machine intelligence is deployed at scale in real operational settings, including with some of the largest payers in the country, across millions of lives driving better health outcomes, access and affordability for its customers. The company's software solutions service a broad range of use cases: provider navigation and network design, early targeted prediction and prevention of adverse outcomes, optimized treatment planning; and fraud, waste and abuse prevention.