Logo
Solutions
Logo
Qumata has developed proprietary algorithms to help insurers understand the potential health and fraud risks of applicants using nothing but health data and other personal information stored in the user’s smartphone or wearable device.

But first, a word about data. We know personal data can be a sensitive subject which is why the process is completely transparent. The customer is fully informed and consent must be obtained before we proceed. Qumata is fully compliant with any relevant local data laws and we only take what we need for an assessment and then delete it as soon as we can.

Customers have realised that by sharing their data they can have access to a faster, frictionless underwriting process and even benefit from lower premiums.
1

Health Risk Assessment

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

Key Variables

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.

Health Data

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.

Fast & Reliable

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.

2

Identify Anti-Selection Risks

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.

Increase Transparency

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.

Save on costs

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.

3

Integrating a Qumata Solution

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.

Easy integration

The data collection and risk calculation can be integrated into your existing app or website infrastructure or be white-labelled on our platform.

Comprehensive API

We have a fully featured API which allows seamless integration with your own internal systems.

Contact