Intelligent Insights driven by health & fitness data
A single solution for health data collection, correlation and analysis

6.7min/km

 Typical long-distance running speed for a 55-year-old woman

7674

 Average daily steps for a 23 year old Male

7hrs 21min

 Average sleep per night for a 40 year old male

59mins

 Typical 10km run time for a 25-year-old woman

22:15

 Average time 40 year old males go to sleep

76bpm

 Average resting hr of a 32 year old female

What we do

At FitVault, we are dedicated to providing the gold standard in aggregated health and fitness data for the Risk and Health Insurance Industry. Our team of leading experts in academia uses minute-by-minute analysis of both current and historic data to calculate a user's health score over a period. We then normalize and visually present this information back to insurers according to their customized rules and exceptions.

FitVault Products

FitVault App

Using the FitVault Mobile App

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FitVault SDK

Using the FitVault SDK within your Mobile App

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FitVault Big Data

Delivering normalized data using our custom algorithms and an advanced data lake. Integration via a secure, real-time API.

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Use Cases

Personal Trainers


Personal trainers can harness data from wearable watches to understand, engage with, and train their clients more effectively.

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Health Insurance


This is where Fitvault started. It has been proven that the healthier and more active a policy holder is the less they claim from insurance.

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Life Insurance


Life insurers can harness data from wearable devices to gain a more nuanced understanding of their policyholders.

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FitVault Health ID

The FitVault Health ID is a ranking within a user's demographic, calculated using proprietary algorithms to analyse health data. It offers a single, expert-approved health metric.

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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.



Apply for the Beta version