1st MENA InsurTech Hackathon


Google Cloud Resource 
Google Cloud Platform (GCP), offered by Google, is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search, Gmail, Google Drive, and YouTube. Alongside a set of management tools, it provides a series of modular cloud services including computing, data storage, data analytics and machine learning. 
Participants will get GCP credits required for the hackathon. 
Prifina Resource


Prifina provides a new type of data architecture, where individuals own and hold their data (“user-held” data model). This enables new use cases and personal applications to be designed and built.

The user-held data model addresses typical challenges with utilizing data, such as;

  •  regulations concerning user data sharing
  •  commercial data sharing terms and conditions 
  •  users hesitancy or consent in sharing sensitive data
  •  application usage privacy concerns 
  •  technically available / restricted APIs
  •  availability of practical mock-up data for development purposes on new types of use cases

In addition to the architecture, Prifina provides developer resources and dynamic mock-up data to support the development of the qualified use cases.


Personal Data Engine

The Prifina personal data engine allows you to build apps on user held data. The end user connects their data sources to their Prifina account, the Prifina personal data engine normalizes and enriches that data, and exposes the normalized data models and dynamic mock-up data (not users actual data) to third party app developers to build new solutions and applications on top of. Developed applications run privately on ‘users-side’ on their real data, where apps can then interact with ‘service-side’ as needed for the use case in question. Apps can be built to react to the users data, but also learn and develop based on the users continuous data feed and behavior.

You can find;


Data resources

1- Dynamic data libraries, available on GitHub

Health, wellness and mobility data from popular sources with dynamic data generators to mockup and simulate utilizing realistic dummy data. 

2- Data sources, available Prifina your data

Peruse data sources available to the users, and get access to real data (your data) to see data contents and models that can be used

Reference community applications and examples

1- Bottom up ESG widget - allowing individuals to see their carbon offset and take action:


2- Genome based predictive health - utilizing genetic data to determine patients highest risks and monitor against those, for when intervention is required 
3- Empowering cross wearable health summaries from different devices that the user has:

4- Providing insights to meet the users goals, based on data empowerment and understanding their own physiological patterns and trends.

5- Data driven food platform for understanding gut health and being able to adjust diet to reduce inflammation
6- Driver fatigue test based on 24 hours of time series data from a wearable device