NEW YORK CITY (October 26, 2021) - Montoux, the Decision Science and Actuarial Automation platform for life and health insurers, was selected for FinTech Global’s 2021 Insurtech100 list. The final 100 were decided from over 1,400 companies by a panel of industry experts and analysts. FinTech Global’s InsurTech100 recognizes ‘The world’s most innovative InsurTech companies that every leader in the insurance industry needs to know about in 2021.’
Montoux's platform allows life and health insurers to make data-driven decisions, reduce costs, and enable healthier lives with better margins. It combines a wide variety of data sources with AI and ML technologies, cloud scalability, data science and actuarial science. This powerful and unique combination allows life and health insurers to fully leverage their data and meet objectives through Decision Science and Actuarial Automation.
“We’re thrilled to be recognized as one of the world’s leading companies operating in the insurtech space,” says Montoux CEO, Geoff Keast. “Today, more and more life and health insurers are addressing long-term challenges with Decision Science and automation. We’re helping our partners to become leaner, smarter, and more geared towards modern customers.”
This announcement comes shortly after Montoux’s recognition on FinTech Globals AIFintech100, which recognizes ‘The world’s most innovative companies developing AI technologies in Financial Services that every financial institution needs to know about in 2021.’
Of the InsurTech100 list, FinTech Global director Richard Sachar says, "Consumers and businesses increasingly expect insurance cover to be offered via a range of digital and offline channels, and insurers that fail to keep up with the latest technologies and innovation will be less competitive and lose market share over time. The InsurTech100 list helps senior decision-makers in the industry filter through all the vendors in the market by highlighting the leading companies in sectors such as underwriting, pricing, IoT devices, distribution and data & analytics.”
