Droice Labs

Droice Labs, founded in 2016, is a New York-based artificial intelligence company focused on the healthcare sector. The firm was established by a team including Mayur Saxena, Ashanideepta Bhattacharya, Tasha Nagamine, Harshit Saxena, Aleksandr Makarov, and Dr. John Kahoun. CEO Mayur Saxena's journey in the field began with a bioengineering degree, followed by work in high-performance computing and a PhD from Columbia University focusing on the computational physics of disease. This background, which includes co-founding a cell therapeutics company, informed the creation of Droice Labs, born from the conviction that data-driven decisions could significantly enhance healthcare.

The company operates by transforming disorganized and complex real-world clinical data into analysis-ready formats. Its client base includes hospitals, pharmaceutical companies, medical device manufacturers, payers, and government organizations across the United States and Europe. The business model centers on providing AI-powered solutions that help these entities make more informed decisions. For hospitals and payers, this involves identifying undiagnosed patients, improving documentation, capturing missed revenue, and filling care gaps. For life sciences companies, the platform facilitates real-world evidence studies, a market valued at over $100 billion globally.

Droice Labs' flagship product is Droice Hawk, an AI middleware platform that processes raw patient data from disparate sources like electronic health records (EHRs), lab systems, and insurance claims. At the core of this technology is Flamingo, a proprietary Natural Language Understanding (NLU) engine trained on billions of clinical notes in multiple languages. A key feature is SuperLineage, a regulatory-grade solution that ensures traceability and quantifiable data quality across all data transformations. This enables the platform to deliver high-resolution patient snapshots, supporting everything from clinical trial data processing to real-time clinical decision support, ultimately aiming to personalize patient care at scale.

Keywords: real-world data, clinical data processing, healthcare AI, natural language understanding, real-world evidence, clinical trial automation, patient data harmonization, medical data intelligence, healthcare analytics, precision medicine, clinical decision support, EHR data analysis, Flamingo NLU engine, Droice Hawk, SuperLineage, health-tech, data-driven healthcare, risk adjustment, care gap analysis, pharmaceutical R&D, payer solutions, provider solutions, medical language processing, computational physics, biomedical data