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What is Falkonry?

Falkonry converts physical world data into actionable insights using advanced AI technologies, offering enhanced visibility and understanding. By facilitating continuous observation of all assets and processes within a facility, it helps to focus human attention on the most critical signals. Users receive prompt insights into both existing and potential reliability and quality issues through a thorough analysis of various events. The platform adeptly manages large data sets to tackle incidents and systemic problems without requiring extensive training or setup time. Its Predictive Maintenance capabilities significantly boost uptime and productivity in operations such as vertical casting and hot rolling. Furthermore, the Continuous Process Monitoring functions enhance production efficiency and product quality in processes that involve lyophilizers and isolators. With Condition-based Maintenance Plus, users can identify negative conditions and anomalies at an early stage, leading to greater success. The proprietary machine learning core provides real-time, actionable insights along with contextual explanations, enabling informed decision-making. In essence, Falkonry not only optimizes operational workflows but also assists organizations in maximizing their overall efficiency and reliability, ultimately leading to improved business outcomes. This dual focus on efficiency and reliability positions Falkonry as a key partner in driving transformative changes within the industrial landscape.

What is Amazon Lookout for Equipment?

Utilize existing sensor information to create specialized machine learning (ML) models that cater to your machinery's needs. Establish automatic monitoring systems capable of promptly and precisely detecting sensor irregularities. This approach accelerates the resolution of issues by providing immediate notifications and triggering automated actions when anomalies are discovered. By incorporating feedback and analyzing trends in anomalies, the effectiveness and precision of your alerts can be further improved. Amazon Lookout for Equipment serves as a machine learning solution for monitoring industrial machinery, detecting atypical behavior, and facilitating proactive strategies to avert unexpected downtimes. This service enables the quick identification of abnormal activity in your equipment, allowing for swift diagnosis and corrective measures to reduce unforeseen interruptions, all without requiring any prior knowledge of machine learning. Furthermore, this efficient method not only conserves valuable time but also significantly boosts overall effectiveness in industrial settings, contributing to a more resilient operational framework.

Media

Media

Integrations Supported

APERIO DataWise
AWS Marketplace
Amazon S3
Micromerce
PubNub

Integrations Supported

APERIO DataWise
AWS Marketplace
Amazon S3
Micromerce
PubNub

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Falkonry

Date Founded

2012

Company Location

United States

Company Website

falkonry.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/lookout-for-equipment/

Categories and 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

Categories and Features

Preventive Maintenance

Condition Monitoring
Inspection Management
Maintenance Scheduling
Mobile Access
Predictive Maintenance
Purchasing
Reminders
To-Do List
Vendor Management
Work Order Management

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