TryRook

This mobile application is designed to simplify user data extraction, optimizing the process for both users and clients. The app offers an automated way to collect health data and send it to the appropriate clients, who can then use the collected data, ensuring a seamless and rapid integration.

Adding Huawei as a data source will enhance our capabilities with their advanced wearable technology, offering detailed health and fitness metrics for users outside of the North American market.

We're integrating Xiaomi wearable data to provide richer insights and enhance user experiences for this user base.

We are incorporating Abbott Libre CGM data to deliver continuous glucose monitoring insights, crucial for managing metabolic health.

Strava integration will allow us to tap into a vast community of endurance athletes, providing comprehensive tracking and performance data.

We're developing a multi-user concept for our developer portal, enabling teams to assign different roles and permissions. This will enhance workflow and data management by allowing team collaboration.

Our enhanced logging feature allows you to review data flow from users through ROOK more efficiently. We're seeking feedback to improve this feature to better meet your workflow needs.

Pre-existing Data, an ongoing project, enables ROOK to extract historical data from users, allowing clients to access comprehensive health records from various data sources. This new feature facilitates more effective descriptive and predictive analysis through the automatic retrieval and processing of past data, with access to a 7-day historical data window prior to the initial connection.

Introducing real-time monitoring, defined as the direct extraction of data from a paired wearable device, to provide critical data instantaneously. This feature would allow you to leverage real-time insights for better operational decisions.