Qumata has ownership of, or access to, multiple health datasets from which our data-driven models have been built. These models all have one thing in common, which is to help clients understand health risks to enable more informed decisions during the underwriting process
Our models respect the importance of factors such as age, biological sex, smoking status and body mass index (BMI), so these are always used in our assessments.
There is other useful information, such as activity data, stored in the user`s phone and other vital signs and health biomarkers that we can collect in real-time. All variables combined will generate a risk profile from which the model will determine the user`s underlying current and future health risks.
Our models are being used globally for different use cases and allow insurers to identify the best and worst health risks quickly. Results are almost instantaneous and delivered in a format that enables the customer to progress quickly to the next stage.
Fraud and anti-selection is a global issue in life and health underwriting and is particularly rampant in certain markets. Qumata has risen to the challenge and is helping insurers identify and manage this risk appropriately.
Qumata's Fraud Detection Solution (FDS) works seamlessly alongside one of the health assessment models and continues to make use of the data stored within the user’s device. This technology allows insurers to identify likely fraudulent applications so next steps can be taken.
Our FDS platform is helping insurers improve operational efficiency and reduce fraudulent claims. Speak to us today to see how your business can benefit from this novel and unique offering to the market.
Our technology is compatible with all Android and iOS devices and we can accept data from a host of health and lifestyle apps and wearables.
The data collection and risk calculation can be integrated into your existing app or website infrastructure or be white-labelled on our platform.
We have a fully featured API which allows seamless integration with your own internal systems.