Glassbeam
Overview
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HQ Location
United States
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Year Founded
2004
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Company Type
Private
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Revenue
$10-100m
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Employees
11 - 50
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Website
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Twitter Handle
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Company Description
Glassbeam is the Machine Data company. Bringing structure and meaning to data from any connected device, Glassbeam provides actionable intelligence to the Internet of Things. Glassbeam’s next generation cloud-based analytics platform is designed to organize and analyze multi-structured data, delivering powerful product and customer intelligence across the entire enterprise. Glassbeam’s platform and cloud applications are adding value to some of the biggest Fortune 500 companies across verticals such as storage, wireless, networking and medical devices. IBM, Hitachi, EMC, Aruba Networks, Meru networks, Polycom and Fusion IO use Glassbeam for analyzing machine log data. Glassbeam enables business users at these companies derive immense ROI by reducing support costs, increasing sales & service revenues, and getting critical product intelligence to build better products for the future.
IoT Snapshot
Glassbeam is a provider of Industrial IoT platform as a service (paas), application infrastructure and middleware, and analytics and modeling technologies, and also active in the healthcare and hospitals industries.
Technologies
Use Cases
Functional Areas
Industries
Services
Technology Stack
Glassbeam’s Technology Stack maps Glassbeam’s participation in the platform as a service (paas), application infrastructure and middleware, and analytics and modeling IoT Technology stack.
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Devices Layer
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Edge Layer
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Cloud Layer
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Application Layer
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Supporting Technologies
Technological Capability:
None
Minor
Moderate
Strong
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Case Studies.
Case Study
Driving Superior Quality of Service and Patient Care with AI/ML
Patient cost savings are attributed to the fact that GDI is not owned by a hospital network. To drive superior quality of service and patient care, in 2017 GDI embarked on an enterprisewide ‘data-driven initiative’. GDI sought to set a financial and operational course to leverage consumption and usage of analytics for its biomedical engineering teams with machine data analytics to achieve true predictive maintenance on the imaging machines as well as drive superior patient care through deep analysis of its physician referral networks.
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