Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Falkonry transforms data from the physical world into actionable information through advanced AI-driven visibility and insights. By enabling continuous monitoring of all assets and processes within your facility, it ensures that human focus is directed toward significant signals. Users gain immediate insights into both established and emerging reliability and quality concerns through a comprehensive exploration and explanation of various events. The platform efficiently navigates extensive data sets to resolve incidents and systemic challenges without the need for extensive training or setup time. With its Predictive Maintenance features, Falkonry enhances uptime and productivity in vertical casting and hot rolling operations. Additionally, its Continuous Process Monitoring capabilities improve production efficiency and product quality in processes involving lyophilizers and isolators. Through Condition-based Maintenance Plus, users can achieve success by detecting adverse conditions and anomalies early on. The patented machine learning core delivers real-time, actionable insights accompanied by explanations, empowering informed decision-making. Ultimately, Falkonry not only streamlines operational processes but also supports organizations in optimizing their overall performance and reliability.
Description
SmartCBM, developed by Allied Reliability, serves as a holistic condition-based maintenance solution aimed at identifying potential component failures that can result in unexpected operational halts or excessive costs. By leveraging advanced predictive maintenance technologies, along with process data, statistical process control, and data analytics, SmartCBM facilitates the design, implementation, execution, and optimization of maintenance strategies, ultimately enhancing the uptime and dependability of your machinery. The platform accommodates a variety of data collection techniques, such as manual route-based, sensor-based, inline, and wireless periodic monitoring, thus providing a comprehensive and economically viable approach tailored to the specific needs of each asset. Moreover, SmartCBM includes an array of proprietary tools for thorough monitoring and reporting of asset conditions, which aids in formulating maintenance strategies that address design-failure modes, thereby improving equipment reliability and availability. Its versatility and effectiveness make it an indispensable tool for organizations seeking to enhance their maintenance processes and reduce operational risks.
API Access
Has API
No
API Access
Has API
No
Integrations
APERIO DataWise
No
AWS Marketplace
No
PubNub
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$5,000 per year
Free Trial
No
Free Version
Yes
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
Yes
iPad App
Yes
Android App
Yes
Windows
No
Mac
Yes
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
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
Yes
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
Falkonry
Founded
2012
Country
United States
Website
falkonry.com
Vendor Details
Company Name
Allied Reliability
Founded
1997
Country
United States
Website
www.alliedreliability.com/smartcbm-condition-monitoring
Product Features
Predictive Analytics
AI / Machine Learning
No
Benchmarking
No
Data Blending
No
Data Mining
No
Demand Forecasting
No
For Education
No
For Healthcare
No
Modeling & Simulation
No
Sentiment Analysis
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