In a final look at the startups in Plug & Play's summer insurtech cohort--the companies trying to disrupt life, health and group benefits lines--employee performance, chronic pain management and insurance fraud take center stage. Multiple startups are looking to help patients improve lifestyle habits through gamification and prevent fraud through the use of machine learning. Read on to see more. Also view this cohort's P&C insurtechs and general insurance startups.
Health Hero provides personalized health engagement experiences for benefit broker and insurance company clients. Its mobile app offers individual and group challenges as well as unlimited device integration and automatic texts from chatbots if chronic conditions are identified in users.
Onēva’s helps employees find trustworthy child, elder care and even housecleaning services in the greater San Francisco area. Workers assigned to homes are handpicked, FBI background-checked service providers.
Founded in 2014, Wellth is made up of a team of designers and doctors devoted to helping chronic disease patients build lasting health habits, while saving insurance dollars leveraging behavioral economics.
Spot enables consumers to purchase short-term life insurance through its mobile app, covering recreational activities such as scuba diving, skydiving, and surfing.
Verikai’s consumer insights platform enables insurers to segment in-house data, analyze it and create algorithms for fraud detection accelerated underwriting or marketing purposes. If carriers are missing data, or don’t have enough, the startup offers a library of pre-scored segments based on third-party data.
PHR+ sports a Software as a Service (SaaS) platform that syncs data from roughly 60% of the U.S.’ health system patient portals. Information, which is stored and distributed securely to all healthcare stakeholders, also includes data from more than 200 wearable devices.
Clovi integrates email, calendar, Slack and GitHub metadata to learn from both formal and informal employee communications. Using data science and predictive analytics the startup then identifies at-risk or underperforming employees.