Spike provides a unified API that aggregates real-time health and fitness data from over 300 wearable and IoT devices, allowing developers to easily integrate and utilize this data in their applications. By offering standardized and normalized data formats, Spike enhances user experience and retention while eliminating the need for developers to manage API updates and maintenance.
Funding
$4.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.




APA+1Founders
Product
Problem
Integrating data from numerous wearable devices and IoT sensors into applications is complex, requiring developers to manage multiple APIs, data formats, and continuous updates. This process is time-consuming and resource-intensive, hindering application development and innovation.
Solution
Spike provides a unified API that aggregates real-time health and fitness data from over 300 wearable and IoT devices, simplifying the integration process for developers. The API standardizes and normalizes data formats, eliminating the need for developers to manage individual API updates and maintenance. By offering a single point of access to diverse data sources, Spike enables developers to focus on building value-added features and enhancing user experiences. The platform is designed with security in mind, adhering to strict regulatory guidelines and employing encryption to protect user data.
Target Audience
The primary target audience includes developers and organizations in the health, fitness, and wellness industries seeking to integrate wearable and IoT data into their applications.
Features
- Unified API for accessing data from over 300 wearable and IoT devices
- Standardized and normalized data formats for simplified integration
- Real-time data access for timely insights and personalized experiences
- Automated API updates and maintenance to reduce developer overhead
- REST API endpoints and cloud architecture designed with data privacy and security in mind
- White-label AI/ML services for making data usable
- Support for raw and structured data formats