About Us

About ASI

At ASI, we develop AI powered solutions for the insurance industry. We recently released a conversation AI platform to support your agents and customer service reps to provide a faster and more efficient experience for your customers, agents and brokers. Our platform uses our own large language model to greatly reduce the cost of implementing an AI solution.

ASI also has developed a pre-built analytics platform that leverages cutting-edge technologies like Graph Database, Conversational AI, Deep Learning, and Machine Learning. The AADI platform provides actionable insights in as little as 90 days to some of the most challenging reporting problems facing claims and underwriting departments. Unlike traditional BI tools that require lengthy implementation and large consulting teams, ASI’s solution integrates seamlessly with your existing systems to deliver a unified, 360-degree view of your data.

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Our Story

Founded in 2018, ASI Analytics was born from the expertise of Insurance Industry Leaders, Architects, and Data Scientists with a clear mission: to create an advanced analytics solution for P&C and Life insurance carriers. For years, our customers struggled with traditional BI solutions that required massive budgets, took years to implement, and were limited by fragmented data spread across multiple systems like Policy, Claims, Billing, CRM, and Underwriting.

After extensive research into emerging technologies, we chose graph databases as the foundation for our platform. Unlike relational databases that store data in rows and columns—requiring slow, complex table joins—graph databases store data as pre-connected entities, making analysis up to 1000 times faster.

Over the last three years, we've partnered with data scientists to develop AADI, an advanced analytics platform that leverages the speed and power of graph databases, enhanced by machine learning and AI. AADI delivers comprehensive dashboards, powerful tools, and interactive graph visualizations to provide deep, actionable insights into claims, policy, and customer data.