Each year, the healthcare insurance industry loses nearly half a trillion dollars due to Fraud, Waste and Abuse. With our state-of-the-art artificial intelligence solutions, fraud, waste and abuse are identified at source and inefficiencies are reduced across the board. KironAI is the most advanced and specialized AI solution in the healthcare insurance market, and our proprietary algorithms allow the platform to handle millions of complex claims with ease. By combining the techniques of AI and our extensive industry knowledge of medical claims data, Kirontech will change the way health insurance works for good. There is a growing consensus that AI technology has a vital role to play in the future of health insurance, in the elimination of fraud, waste and abuse, the streamlining and reinforcing of risk assessment processes, and in network optimization. But how? Kirontech works with extensive medical claims data, using machine learning AI to improve the bottom line of insurers, third party administrators and reinsurers, and increase quality of care through better monitoring and management of providers. KironAI uses dynamic ‚Äúgraph‚Äìbased‚Äù learning, which means it discovers rules and patterns from within the data, rather than simply scanning for pre-specified ones; it observes, learns and adapts to new relevant patterns too complicated for the human eye to pick up. The system is ultra-fast and resilient, designed to learn even from scarce data. Kirontech is based in Cambridge, an internationally recognized technology hub. With a presence in London, the largest centre for underwriting commercial and specialty risk in the world, Kirontech is perfectly positioned to make use of its top technical and domain expertise to address the serious issues which impede the health insurance business today. But more than anything else, Kirontech is about its people. With its unique combination of skills and expertise, our team works to innovate the healthcare industry through the application of new technology that has already proved its value across many other domains.