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Average Ratings 0 Ratings
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
Are you overseeing the operation or development of robotic fleets? Robot Cloud offers an ideal platform for gaining insights into device conditions while ensuring quick resolutions to potential issues. Whether you are conducting field trials for autonomous vehicles or managing a fleet of commercial transport options, MODE enables you to gather real-time sensor data from your vehicles and trips, allowing for immediate application to enhance operational efficiency. Leveraging cloud-based technology, MODE seamlessly integrates with any required sensors, ranging from Smart Home management to tracking utility expenses in manufacturing settings. With capabilities for large-scale real-world data system analysis, it provides continuous monitoring and firmware management for over 10,000 installations. Designed to reliably transmit data even in challenging network conditions, our Gateway ensures consistent data collection and analysis, available around the clock for extended periods. Furthermore, you can initiate your journey with as little as one unit for testing purposes, making it a much quicker and more cost-effective alternative compared to traditional in-house solutions, enabling businesses to innovate without significant upfront investments.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
BitcoinOS
DataHawk
Google Cloud Platform
HPE Industrial IoT
JewelSuite
Kleene
Microsoft 365
Select Star
Integrations
Amazon Web Services (AWS)
BitcoinOS
DataHawk
Google Cloud Platform
HPE Industrial IoT
JewelSuite
Kleene
Microsoft 365
Select Star
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
MODE
Founded
2014
Country
United States
Website
www.tinkermode.com
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
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
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