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Description
C3 AI® Sensor Health guarantees the efficient operation of IoT devices and their network infrastructure throughout both the installation and operational phases of these devices. It allows users to visualize the status of sensors, track deployment progress, and pinpoint geographic areas that may require attention, while also providing a prioritized list of sensors that have been flagged for health concerns. Users can uncover issues related to sensor deployment, determine the origins of malfunctions, streamline field service operations, and anticipate future deployment advancements. It is crucial to maintain accuracy, consistency, and up-to-date installation information across both source and cloud data systems. Additionally, the platform facilitates the monitoring and analysis of the physical integrity, functionality, and communication capabilities of sensor devices, which aids in improving field service and resolving issues effectively. Users can visualize planned sensor installations alongside actual deployment and provisioning advancements, along with tracking operational problems and trends related to devices, and prioritize service tasks accordingly. The system also generates comprehensive analyses and consolidates findings through both preformatted and customized reports, which cover aspects such as failure analysis and health assessments, thus providing valuable insights for decision-making. Overall, this robust solution enhances the management and performance of IoT ecosystems.
Description
Coiote IoT Device Management empowers operational teams to swiftly implement new IoT solutions while effectively diagnosing issues. Built upon open standards like Lightweight M2M, this platform offers exceptional scalability, facilitating comprehensive management of the device lifecycle. It allows for efficient control of your assets, the initiation of new services, and the creation of additional revenue streams. Users can either develop custom application tests to ensure their devices function as intended or make use of pre-existing test sets available on the platform. The user-friendly graphical interface simplifies both device bootstrapping and configuration processes. With its auto-discovery capabilities, Coiote IoT DM can rapidly onboard devices by automatically recognizing their functionalities and displaying them within the GUI. This not only reduces costs but also accelerates the time to market significantly. Additionally, you can execute FOTA and SOTA upgrades at the most suitable moments without stressing limited devices, as the scalable FOTA process allows for strategic planning of its deployment, ensuring that your operations run smoothly without interruptions. This comprehensive approach ensures that your IoT deployment remains efficient and effective throughout its lifecycle.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Google Cloud Platform
HPE Industrial IoT
JewelSuite
Microsoft 365
Integrations
Amazon Web Services (AWS)
Google Cloud Platform
HPE Industrial IoT
JewelSuite
Microsoft 365
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
C3 AI
Country
United States
Website
c3.ai/products/c3-sensor-health/
Vendor Details
Company Name
AVSystems
Founded
2006
Country
Polonia
Website
www.avsystem.com/products/coiote-iot-device-management-platform/
Product Features
IoT Analytics
Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking