We develop cloud-based analytical systems to assess, optimize
and minimize the risk and associated costs in insurance programs.
Our lead product is a cloud-based analytical systems to assess, optimize and minimize the risk and associated costs in insurance programs. The analysis algorithm uses what we call “hard data”, i.e., data that is difficult to manipulate and retrievable from multiple sources to provide payers and insurance program administrators quantitative answers that can be condensed in a “score” with binary interpretation. This score addresses the efficiency and properness of the insurance program itself and the beneficiary-facing parties involved in them. The characteristics of the data used is as important as the analytics run on the data and this combination is what allows our algorithm to yield extremely conclusive and binary results.
High costs and inefficiencies are plaguing insurance programs, especially healthcare one
In a multilateral environment, were parties are naturally disconnected, identifying the source of the inefficiencies is not straightforward
In the current world, there is an abundance of data inviting the application of solutions based on big data, which can ignore the relevance of the data input and therefore obscure the result
Our solutions include an analysis and careful selection of the data sets used as input
Having the most adequate data set, the analysis algorithm focuses on metrics that can be objectively obtained and precisely interpreted