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What is SeeMyMachines?

Deploy this industrial IoT system in your manufacturing facility, healthcare center, or similar establishment. Remain updated on the status of asset tracking and maintenance management. Prevent unforeseen production halts by monitoring machine conditions closely. Evaluate both current and historical data to assess equipment deterioration, facilitating timely maintenance actions. Track the positioning of medical devices while also supervising the movements of staff and patients. As an effective real-time location system, SeeMyMachines improves the management of mobile assets, thereby enhancing operational productivity within large healthcare environments. Furthermore, it allows you to remotely supervise turbines and solar panels across multiple energy production sites. Move towards a paperless inspection process and apply remote asset oversight to refine maintenance protocols and boost the performance of power facilities. In busy airports, monitor everything from tools to people through a connected ecosystem of devices and personnel. With a consolidated platform, you can oversee asset tracking, temperature regulation, staff locations, and much more. This cohesive strategy guarantees efficient operations across a variety of scenarios, ultimately leading to improved service delivery and operational effectiveness.

What is Crosser?

Harness the power of Edge computing to transform large datasets into actionable insights that are easy to manage. Collect sensor data from all your machinery and create connections to various devices such as sensors, PLCs, DCS, MES, or historians. Adopt condition monitoring for assets situated in remote locations, effectively adhering to Industry 4.0 standards to ensure optimal data collection and integration. Combine real-time streaming data with enterprise-level information for smooth data transitions, utilizing either your preferred Cloud Provider or an in-house data center for storage needs. Take advantage of Crosser Edge's MLOps features to implement, manage, and deploy your tailored machine learning models, while the Crosser Edge Node accommodates any machine learning framework. You can access a centralized repository for your trained models hosted in Crosser Cloud, and simplify your data pipeline with an intuitive drag-and-drop interface. Easily deploy your machine learning models across multiple Edge Nodes in a single action, enabling self-service innovation through Crosser Flow Studio. Benefit from an extensive collection of pre-existing modules that enhance collaboration among teams in different locations, significantly decreasing dependency on specific team members and boosting overall organizational productivity. By leveraging these advanced capabilities, your operational workflow will not only enhance collaboration but also drive innovation to unprecedented levels, paving the way for future advancements.

Media

Media

Integrations Supported

Integrations Supported

Advantech WebAccess/CNC
Azure Stream Analytics
Barracuda PST Enterprise
Google Cloud Platform
Microsoft Azure
SIGNL4

API Availability

API Availability

Has API

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Online Training

Company Facts

Organization Name

QBurst

Date Founded

2004

Company Location

India

Company Website

seemymachines.com

Company Facts

Organization Name

Crosser Technologies

Date Founded

2016

Company Location

Sweden

Company Website

www.crosser.io

Categories and Features

Asset Tracking

Activity Tracking
Audit Trails
Depreciation Tracking
Disposal Tracking
Inventory Management
QR Codes
Service History

Condition Monitoring

Not specified

Equipment Maintenance

Customer Database
Dispatch Management
Equipment Tracking
Inventory Control
Maintenance Scheduling
Work Order Management

Industrial IoT

Not specified

Machine Monitoring

Not specified

Categories and Features

Condition Monitoring

Not specified

IoT

Not specified

IoT Analytics

Not specified

IoT Development

Not specified

Machine Monitoring

Not specified

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