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What is Pulsar?

Pulsar is a state-of-the-art platform designed for real-time machine monitoring and Overall Equipment Effectiveness (OEE), facilitating a cloud connection that offers manufacturers in-depth insights into their production floor operations, machinery condition, and efficiency levels. This innovative system allows users to detect issues, minimize downtime, and boost productivity without relying on manual logs or spreadsheets. It integrates industrial IoT sensors and hardware that can seamlessly connect to any machine, irrespective of its model, age, or type, and does so without requiring changes to existing PLCs. The data gathered encompasses crucial metrics such as availability, performance, speed, cycle counts, downtime causes, and production output, all of which are displayed on intuitive dashboards accessible from multiple devices. Pulsar’s software consistently tracks key manufacturing KPIs, including OEE, utilization, throughput, and quality, while also providing advanced real-time analytics and historical data reporting. Furthermore, the platform includes customizable alerts that can be transmitted via SMS, email, or shown on TV dashboards, in addition to a digital Andon system that enables teams to swiftly identify and tackle production issues as they emerge, thus promoting a more agile manufacturing environment. By harnessing this technology, manufacturers not only refine their operations but also cultivate a proactive culture centered around ongoing improvement and innovation in their processes. The integration of such advanced analytics equips teams with actionable insights, ultimately leading to enhanced decision-making and operational excellence.

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

Amazon S3
Micromerce

Integrations Supported

Amazon S3
Micromerce

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

Pulsar

Company Location

United States

Company Website

www.pulsarml.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

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

Categories and Features

OEE

Benchmarking
Cost Tracking
Downtime Tracking
Historical Reporting
Performance Metrics
Quality Control
Real Time Reporting
Root Cause Analysis
Trend Analysis
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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