Glassbeam provides data analytics for providers, OEM's and ISO's in the healthcare industry to maximize uptime, utilization and optimize the service lifecycle costs of connected medical equipment. The platform of software and services deliver predictive and prescriptive insights to measure and optimize KPI’s across the enterprise.
Our patented cloud-based data analytics platform is designed to transform and analyze multi-structured data (machine logs, DICOM, HL7, CMMS, Environmental Sensors etc.), delivering powerful vendor-neutral solutions to improve business performance.
Current customers include Canon Medical Systems, Cepheid, Renovo Solutions, Agiliti Health, Brown’s Medical Imaging, MultiCare Health System, Harris Health, and UnityPoint (to name a few marquee customers). For more information, visit www.glassbeam.com.
Are you spending too much time wrangling data and not enough time using it to drive value? Do you lack the expert developers, analysts, and data scientists required to transform data into action? If so, now is the time for Actus Data.
We deliver powerful, flexible, and affordable analytics solutions that make data work for your business. Our Smart Enterprise Engine does all the heavy lifting necessary to orchestrate data across the entire analytics lifecycle, but it is also quick to implement and easy to use. Instead of asking questions about how to put all the pieces together, why not focus on what really matters? From manufacturing and restaurants to financial services and ecommerce, Actus Data will take your business to the next level.
neutrino8 is forever changing the acquisition, deployment, and operation of gigabit enterprise wireless access networks by developing and delivering breakthrough cloud-based, AI-driven, hardware-agnostic solutions that eliminate the cost and complexity of proprietary legacy vendor solutions. By commoditizing enterprise-class access networking to sub-consumer pricing levels, neutrino8 is executing on its vision to democratize connectivity and make it affordable for all.
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