At Insursight.ai, we provide insurance stakeholders value adding solutions by putting Risk, Process and Distribution to the core of our focus. We solve the problems of the domain by utilizing state-of-art AI models, inspired by the domain models themselves. Our solutions are positioned to make the above contexts efficient, measurable, predictable, and effective.
Machine learning, generally speaking AI, is recently enjoying an unprecedented hype primarily due to the impressive performance of deep learning architectures. Yet it is no miraculous solution and is rooted in decades of hard work and academic research. Nowadays, parallel with the improvements in computational power, complex AI architectures have become feasible facilitating applications that were once a dream. Nevertheless, AI is a toolbox and cannot provide off-the-shelf general-purpose solutions to real-life problems. That’s where Insursight.ai steps in.
Insursight.ai takes a holistic approach positioning the problems at the root of all. It is our understanding that an interleaved process of problem assessment, data understanding and curation, AI model selection and customization is needed to generate value out of the AI toolbox. In a nutshell, Problem Driven AI Solutions is the path we pursue, along which we utilize the deep academic and industrial expertise of our founders.