Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The analysis of data from diverse IoT sources, such as sensors and devices, facilitates predictive and prescriptive insights that empower users to address potential anomalies in real time. Concentio® IoT Doctor effectively processes data from various IoT endpoints, notifying users of any faulty incoming data to ensure that issues are resolved before the data is utilized for further analytical purposes. Additionally, the Concentio® Production Line Fault Prediction tool leverages AI to conduct predictive assessments of production line components by analyzing IoT data, videos, and images. Meanwhile, Concentio® Optimal Asset Management scrutinizes incoming information from a network of utility service assets, allowing users to schedule timely maintenance and ultimately reduce capital expenditures by informing strategic asset replacement decisions. This comprehensive approach not only enhances operational efficiency but also significantly contributes to improved asset longevity and performance.
Description
Reduce unexpected downtime in AC motors and rotating equipment. By utilizing electrical waveform analysis, we are able to forecast more than 90% of potential failures up to five months ahead of time. This approach facilitates predictive maintenance tailored for maintenance professionals, allowing them to allocate their limited resources to the assets that genuinely require attention. With SAM4, maintenance teams are empowered to carry out interventions only when a budding fault is identified, leading to quicker responses through real-time fault diagnostics. Upon detection of an issue, SAM4 can pinpoint the exact fault, enabling the maintenance team to address the root cause directly without needing to conduct a comprehensive examination of the entire asset. Achieve success where earlier predictive maintenance initiatives may have fallen short, as SAM4 boasts an accuracy rate that is 20% higher than conventional vibration-based systems and is also quicker and more economical to install and maintain. Furthermore, SAM4 can detect over 90% of failures, proving to be up to 50% more precise than the vibration-based solutions you may have previously utilized, significantly enhancing your maintenance strategy.
API Access
Has API
No
API Access
Has API
Yes
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Scry AI
Founded
2014
Country
United States
Website
scryai.com
Vendor Details
Company Name
Semiotic Labs
Country
Netherlands
Website
www.samotics.com
Product Features
IoT Analytics
Activity Dashboard
No
Activity Tracking
No
Analytics
No
Asset Tracking
No
Data Collection
No
Data Synchronization
No
Data Visualization
No
ETL
No
Multiple Data Sources
No
Performance Analysis
No
Real-Time Analytics
No
Real-Time Data
No
Real-Time Monitoring
No
Status Tracking
No
Preventive Maintenance
Condition Monitoring
No
Inspection Management
No
Maintenance Scheduling
No
Mobile Access
No
Predictive Maintenance
No
Purchasing
No
Reminders
No
To-Do List
No
Vendor Management
No
Work Order Management
No
Product Features
CMMS
Asset Tracking
No
Calibration Management
No
Inventory Control
No
Key & Lock Management
No
Mobile Access
No
Preventive Maintenance
No
Purchasing
No
Scheduling
No
Service History Tracking
No
Technician Management
No
Work Order Management
No
Equipment Maintenance
Customer Database
No
Dispatch Management
No
Equipment Tracking
No
Inventory Control
No
Job Management
No
Maintenance Scheduling
No
Warranty Tracking
No
Work Order Management
No
IoT
Application Development
No
Big Data Analytics
Yes
Configuration Management
No
Connectivity Management
No
Data Collection
Yes
Data Management
No
Device Management
No
Performance Management
Yes
Prototyping
No
Visualization
Yes
Maintenance Management
Asset Tracking
No
Billing & Invoicing
No
Calibration Management
No
Dispatch Management
No
Inventory Control
No
Inventory Management
No
Key & Lock Management
No
Mobile Access
No
Planning Calendar
No
Predictive Maintenance
Yes
Preventive Maintenance
No
Purchasing
No
Scheduling
No
Service History Tracking
No
Technician Management
No
Work Order Management
No
Preventive Maintenance
Condition Monitoring
No
Inspection Management
No
Maintenance Scheduling
No
Mobile Access
Yes
Predictive Maintenance
Yes
Purchasing
No
Reminders
Yes
To-Do List
No
Vendor Management
Yes
Work Order Management
No