EigenRisk, the Ann Arbor, MI headquartered company leverages the latest advances in High-Performance Computing and Big Data technology to design, from the ground-up, a radically different approach to consuming risk analytics in the enterprise. The company serves the insurance eco-system comprising corporate risk managers, intermediaries, insurance and reinsurance companies, capital markets and risk modeling companies. EigenRisk's products are designed to leverage the commonality of the fundamental data elements being analyzed by all of these parties. “Ultimately, everyone is trying to quantify their exposure to risk from the same set of potential events to the same set of ‘assets’ such as property, life, auto, cargo, and more,” says Deepak Badoni, CEO, EigenRisk.
For instance, one of the company’s products, EigenPrism, a cloud-based solution is intended for those who want a one-stop risk analytics platform without the headache of managing infrastructure. EigenPrism is designed to be modular, with the ability to extend the capabilities that the company has to offer out of the box—whether it is adding new data representations, or new models. “Our product, EigenPrism, has been vetted with over thirty potential customers across various industry segments to validate its applicability to their core business processes,” says Badoni.
We want to be the leading provider of innovative risk analytics solutions for risk decision makers and the most trusted deployment platform for risk modelers
As management of HPC environments poses several challenges—from having to deal with rapidly evolving hardware to handling demanding users, “with our cloud deployment architecture, we have ensured that the infrastructure management is transparent to the users,” remarks Badoni. “In the background, we use the elastic computing capabilities of the cloud to scale on demand, which will help keep operational costs low,” he adds. Apart from this, there are usage dashboards and alarms to inform users about important pieces of information like long running queries, which can be moved to lower priority threads.
“EigenRisk’s functionally rich offerings are just the tip of the iceberg, which in near future will unlock a platform for many more innovative solutions dedicated to the (re) insurance and risk management segment,” says Badoni. “For example, our exposure analytics module is designed to answer what-if questions by aggregating risks from millions of assets exposed to a potential event,” he adds. The vision of EigenRisk is to tackle the frequency and timing aspect of all such events over a time period, which will ultimately empower decision makers to evolve from risk management to risk mastery. “We want to be the leading provider of innovative risk analytics solutions for risk decision makers and the most trusted deployment platform for risk modelers,” concludes Badoni.