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What is corrux?

Corrux is a firm dedicated to industrial data analytics, aiming to develop innovative solutions that leverage big data to improve the efficiency and maintenance of equipment in the heavy civil sector. By adopting predictive and condition-based monitoring techniques, our offerings guarantee results and enhance equipment uptime. Corrux adeptly harmonizes the data flows from all heavy machinery and their attachments at construction sites, thereby eliminating uncertainties concerning their operation and status. We provide essential tools for cost optimization, enabling you to refine your operations and discover new business avenues. Our technology empowers the unlocking and integration of data from all machinery, improving utilization and tracking of construction progress. Furthermore, we deliver a detailed asset tracking overview that keeps you informed about the condition of your equipment. By enhancing equipment uptime and reducing fuel consumption, Corrux’s technology collects, integrates, and analyzes machine data to produce actionable insights. This amalgamation of IoT, analytics, and insights promotes transparency and enables businesses to make informed, data-driven choices while adapting to the changing needs of the industry. Our ultimate goal is to transform the operational landscape for construction companies by fully exploiting the capabilities of their data, ensuring they remain competitive and forward-thinking in a rapidly evolving market. This commitment to innovation positions us as leaders in the field, ready to tackle the challenges of tomorrow.

What is Glassbeam?

Glassbeam operates as a cloud-driven analytics platform tailored for providers, OEMs, and ISOs within the healthcare sector, focusing on delivering business intelligence that enhances the uptime, utilization, and lifecycle management of connected medical devices like MR, CT, and X-ray machines. By harnessing the power of machine learning, Glassbeam's comprehensive solutions provide vendor-neutral and multi-modality predictive and prescriptive insights, empowering both executives and operational staff to effectively monitor key performance indicators (KPIs) and refine enterprise operations. The platform's Service Analytics feature offers valuable insights into device functionality, highlights reported issues, detects anomalies in performance metrics, and anticipates potential part failures, thereby promoting increased machine uptime. Designed as an AI-enhanced solution, Service Analytics employs advanced data analytics to boost the operational efficiency of high-end imaging technologies. In addition, Glassbeam's Utilization Analytics deepens understanding of Imaging department operations by integrating various data sources such as logs, DICOM, HL7, RIS, EMR, and billing and scheduling information. This robust solution fosters enhanced data visibility and analytical capabilities, enabling Imaging teams to streamline workflows, elevate performance, and make data-driven decisions with greater accuracy and confidence. Overall, Glassbeam stands out as a vital partner in the healthcare landscape, helping organizations achieve optimal operational outcomes and improved patient care.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Contact for Pricing

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
On-Site Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

corrux

Date Founded

2018

Company Location

Germany

Company Website

corrux.io

Company Facts

Organization Name

Glassbeam

Date Founded

2009

Company Location

United States

Company Website

www.glassbeam.com

Categories and Features

Productivity

Not specified

Categories and Features

Healthcare Analytics

Not specified

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