hopit Manufacturing

hopit Manufacturing

HEAP Engineering GmbH
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About

Pulsar is a cloud-connected real-time machine monitoring and Overall Equipment Effectiveness (OEE) platform designed to give manufacturers full visibility into shop-floor operations, production performance, and machine health so they can detect issues, eliminate downtime, and improve productivity without relying on manual logs or spreadsheets. It uses industrial IoT sensors and hardware that connect to machines of any type, age, or model without altering PLCs and stream availability, performance, speed, cycle counts, downtime causes, and production output data to intuitive dashboards accessible from any device. Pulsar automatically tracks key manufacturing KPIs, like OEE, utilization, throughput, and quality, provides advanced real-time analytics, historical reporting, and custom configurable alerts via SMS, email, or TV dashboards, and includes a digital Andon system so teams can spot and respond to production issues instantly.

About

hopit Manufacturing is real-time OEE, downtime tracking and production monitoring software for small and midsize manufacturers. It provides live visibility into machine states, running orders and production KPIs such as availability, performance, quality and OEE. Downtime events are captured automatically and can be enriched with reason codes to identify recurring losses and improvement opportunities. Machine and production data can be collected through hopit Edge from PLCs, CNC controllers and industrial equipment using technologies such as Siemens SINUMERIK, Siemens S7, Beckhoff ADS/TwinCAT, OPC UA, Modbus and MQTT. The platform creates a reliable production data foundation for reporting, analytics and AI applications.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Manufacturing operations and plant managers seeking a tool providing machine performance monitoring, automated OEE tracking, and actionable analytics to boost productivity and reduce downtime

Audience

Small and midsize manufacturers seeking real-time visibility into OEE, downtime and production performance. Typical users include plant managers, production managers, operations managers, manufacturing engineers and continuous improvement teams across machinery, plastics, electronics, food & beverage, building materials and other manufacturing industries.

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Pulsar
United States
www.pulsarml.com

Company Information

HEAP Engineering GmbH
Founded: 2019
Austria
hopit.at/en/manufacturing.html

Alternatives

Alternatives

Mingo

Mingo

Mingo Smart Factory
OEEasy

OEEasy

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Mingo

Mingo

Mingo Smart Factory
Predator MDC

Predator MDC

Predator Software
FactoryTalk Metrics

FactoryTalk Metrics

Rockwell Automation

Categories

OEE

Categories

OEE

OEE Features

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

Integrations

AWS IoT Core
Azure IoT Hub
HiveMQ
Thingsboard

Integrations

AWS IoT Core
Azure IoT Hub
HiveMQ
Thingsboard
Claim Pulsar and update features and information
Claim Pulsar and update features and information
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