FitVault Case Study
Fraud detection as a service: revolutionize your fitness data management and unveil hidden opportunities with our cutting-edge solution.

In a recent case study, we partnered with an organisation that deals with high volumes of fitness data to explore how our solution could help them identify and prevent insurance fraud.

By analyzing the company's data with our advanced algorithms, we aimed to uncover patterns and anomalies that could indicate fraudulent behavior as some companies handling large amounts of fitness data often face the issue of data manipulation. In behavioral insurance models where healthy habits are rewarded, fraudulent data can lead to substantial financial losses, and the challenge is to identify users who are more likely to commit fraud and flag them for further assessment and monitoring.

We provided an advanced data analysis platform that harnesses machine learning to identify potential fraud and anomalous activities by examining historical and real-time data. The system can pinpoint patterns and behaviors that suggest fraudulent actions and because it can be seamlessly integrated into existing infrastructure using RESTful integration, we could quickly and easily incorporate FitVault Fraud Detection as a standalone service, enhancing their real-time assessment capabilities without the need for extensive development efforts.


Equipped with these insights, we partnered with a large multinational employer to deploy a company-wide fitness initiative that allowed employees to log their fitness activities in exchange for rewards, rebates, and recognition. In the 4-month pilot program, employees were given equal opportunities to participate and log their exercises. The registration and participation process was streamlined using a company-wide access code, and leaderboards were set up to track progress and encourage friendly competition between departments.

The outcomes demonstrated significant enhancements in both individual and average physical activity levels. The initiative effectively encouraged employees to adopt and maintain a healthy lifestyle, which in turn benefited the company through reduced burnout, increased productivity, and overall well-being.


We successfully identified numerous instances of fraudulent behavior among the test group of 50,000 insurance-linked users by flagging various types of fraud, such as sharing devices, manipulating workout data, and falsifying gym visits. Armed with this information, the company was able to implement measures to address and prevent insurance fraud, ensuring fair rewards for legitimate users.

Benefits and improvements include:


If your organization aims to acknowledge or incentivize employees for their active and healthy habits, please feel free to contact us.

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Please reach out to us if you would like to explore how we can collaborate to solve potential cases of fraud at your organisation.

The FitVault app

FitVault is scaleable and flexible to suit any use case that requires detailed insights from multiple sources of health data. Enhance your product with the single solution for health data collection, correlation and analysis.



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