Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
We cater to numerous clients, ensuring daily prevention of downtime while significantly enhancing their financial outcomes. Explore approaches to eradicate downtime specific to your sector, leading to decreased financial setbacks and improved operational efficiency. Our continuous monitoring focuses on critical assets that could result in lost production and expensive repairs if they fail. Each year, organizations face production losses stemming from unexpected downtime and its repercussions. We can proactively monitor and address over 100 potential machine issues while they are still developing. These problems can often be detected weeks or even months before a failure occurs. Our platform offers comprehensive monitoring across various conditions and components, providing a complete overview of an asset’s health. By identifying issues early, we enable proactive measures that allow for the most cost-effective resolutions, minimizing unplanned downtime and lowering yearly machine repair expenses. We combine the strengths of human insight and advanced technology to guide our clients in determining the necessary actions to take. Ultimately, our commitment is to enhance operational reliability and safeguard against unexpected disruptions.
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.
API Access
Has API
API Access
Has API
Integrations
APERIO DataWise
AWS Marketplace
PubNub
Pricing Details
$199 per month
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
AssetWatch
Country
United States
Website
www.assetwatch.com
Vendor Details
Company Name
Falkonry
Founded
2012
Country
United States
Website
falkonry.com
Product Features
Preventive Maintenance
Condition Monitoring
Inspection Management
Maintenance Scheduling
Mobile Access
Predictive Maintenance
Purchasing
Reminders
To-Do List
Vendor Management
Work Order Management
Product Features
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis
Preventive Maintenance
Condition Monitoring
Inspection Management
Maintenance Scheduling
Mobile Access
Predictive Maintenance
Purchasing
Reminders
To-Do List
Vendor Management
Work Order Management