i3systems is a healthcare machine learning product company, with a particular focus on the insurance clients. Our system can work on a variety of documents and unstructured data-sets to create an extremely high-quality data essential in predictive modeling, process automation, and decision making. The company has created unique frameworks which blend computational linguistics, machine learning / AI models, image processing, NLP, quality-control rule engines, interactive interfaces; in order to solve a wide variety of problems associated with Underwriting and Claims decision making in health and life insurance companies. Company's products i3claim, DataMD, DigiTariff and TBots perform process-automation, straight-through-processing with zero manual-touch-points, fraud detection, and Multi-dimensional risk stratification in Claims, Underwriting, Tariff digitization processes. We are Leaders in Health Insurance market today because of our innovative platforms and commercial structure. We have proven our capabilities across large enterprise clients in India and Globally helping the likes of AXA Gulf, Bajaj Allianz, ICICI Lombard, Healthcare TPAs, etc. achieve: • Over 50% reduction in operational costs, • Our AI/NLP based models help in achieving more than 90% accuracy, • 70% decrease in processing time, • 300% improvement in skilled FTE productivity, • 90% reduction in leakages due to insufficient data and capture errors, • With 0% compromise on information security.

The Cactus Provider Management Platform is a robust and comprehensive software solution. It acts as a single source-of-truth for your provider data, providing automated credentialing, privileging, payor enrollment, OPPE/FPPE reporting, quality improvement, and risk management functionality. Its cloudbased access speeds credentialing and privileging processes, tightens security, improves workflows, and reduces the paper burden. Offered as a flexible single- or multi-entity enterprise configuration, Cactus provides an intuitive user experience—from gathering and maintaining provider data to quickly validating provider credentials and qualifications, decreasing turnaround time and increasing provider satisfaction along the way.