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What is Spike?
Seamlessly connect your application to real-time information from over 300 devices via a unified API, enabling you to harness this data with our adaptable AI and machine learning offerings. This singular API opens doors to all major wearable and IoT platforms, allowing you to initiate testing right away with our easy-to-follow and detailed documentation, thereby speeding up your project timelines. Enhance your application's capabilities and user satisfaction by providing personalized insights that elevate user engagement and retention rates. You will gain access to wearable data in both raw and formatted styles, while we manage API upgrades, oversee new sensor implementations, and ensure version control, freeing you from these technical tasks. With just a few lines of code, you can integrate with Spike from any platform and receive data presented in an easily digestible format. Concentrate on delivering exceptional value to your users, while we manage the technical intricacies. The technology behind Spike, including its REST API endpoints and cloud infrastructure, is carefully designed with a strong emphasis on data privacy and security, safeguarding your users' sensitive information. By leveraging our solutions, you can drive innovation and improve your application, all while avoiding the complexities associated with data management, thus facilitating a smoother development process. In this way, you can focus on what truly matters: creating a remarkable user experience.
What is Atmolytics?
Atmolytics offers a comprehensive platform designed to facilitate the sharing of data insights and exploration between individual and multiple organizations. Whether or not you possess technical skills, you and your team can easily identify the clinical populations that are most relevant to your research endeavors. By effectively capturing, annotating, and sharing the essential components of your findings, you can greatly expedite the decision-making process. The platform provides a unified perspective on a variety of insights, encompassing clinical, social, financial, demographic, genotypic, and geographical data. Organizations that oversee clinical registries face numerous hurdles, such as the complexities involved in collecting, organizing, and visualizing the ever-expanding amounts of patient data. These challenges often arise from an inability to achieve a holistic view of their data, a lack of standardization among various source systems, dependence on inadequate data collection tools, limited data accessibility, and the dispersion of information across multiple storage locations and formats. Addressing these challenges is essential not only for improving the effectiveness of clinical research but also for enhancing patient outcomes. By streamlining data management processes, organizations can unlock new insights that better inform their strategies.
Integrations Supported
Amazon Web Services (AWS)
Android
Apple Podcasts
CX-Programmer
Flutter
GitHub
Google Cloud Platform
Headspace for Work
Kotlin
Lumen Cloud
Integrations Supported
Amazon Web Services (AWS)
Android
Apple Podcasts
CX-Programmer
Flutter
GitHub
Google Cloud Platform
Headspace for Work
Kotlin
Lumen Cloud
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Spike
Company Location
United States
Company Website
spikeapi.com
Company Facts
Organization Name
Imosphere
Date Founded
1993
Company Website
imosphere.com/health-and-research-analytics/