CapsicoHealth team is working on augmenting automated understanding of large document libraries with knowledge graphs

CapsicoHealth was formed by experienced Al specialists, health informaticists, entrepreneurs and physicians to create a “hyperscale SaaS platform” providing real-world Intelligence for life sciences and healthcare organizations. Capsico offers the world's-first cloud-based AI workbench purpose-built for life-sciences and healthcare based on diverse healthcare data sets, and validated with a multitude of live and operational revenue, access and outcomes scenarios. Organizations are empowered to get insights quickly via curated health data and pre-built reports, with the option to leverage their internal data privately with Capsico’s AI Workbench to build (and maintain) scale models for a range of challenges. Customers can leverage state-of-the-art generative-AI frameworks (e.g., GPT, custom LLM models), and 250+ pre-built prediction models based on natural language processing (NLP) and neural network structures. Built by a team with experience in predictive modeling and big health data analysis, Capsico enables interactive tools to forecast revenue, compare treatments, identify market opportunities, gather adoption and provider network insights. Capsico’s pre-built data offering is based on trillions of data points from claims, de-identified records, studies, clinical trials, drug-outcomes, sponsorship data and provider registries. Capsico also enables analysts to rapidly generate new models, validate and derive insights through modern “no code” AI tools with high quality data and 99% automation. CapsicoHealth is proud to have been ranked by Becker's Health in the top 70 innovative companies in 2019. CapsicoHealth drive leadership in the community through thought leadership summits on role of AI in Healthcare and Pharma. Our team is diverse and worked at places like IBM Watson Research, The Advisory Board, Optum, MD Anderson Cancer Center, McKesson, Accenture, Merck, Stanford University and Carnegie Mellon University.