Press Release
May 20, 2020
Phizzle Software announces a dramatic breakthrough in edge computation that enables 40-watt or less edge devices to operate with the performance of a 200-watt server
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Ben Davis, Phizzle CEO: The EDGMaker Software Stack Launch
May 20, 2020
Phizzle founder and CEO Ben Davis announces the deployment of the EDGMaker Software Stack - the IoT industry’s first software designed specifically for edge computing. This innovation promises server-grade performance across an entire fleet of IoT devices, redefining what is possible at the edge.
Key topics include: edge device performance, digitization, operational efficiencies, data integrity, mission-critical environments.
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Ryan Brady, Phizzle CTO: Regenerative IoT Systems for Pharmaceutical Manufacturing
Phizzle CTO Ryan Brady performs a technical whiteboard session on Regenerative Engineering—the software innovation transforming pharmaceutical manufacturing by removing manual processes to automate and digitize edge devices for true IoT connectivity.
Key topics include: edge computing, regenerative engineering, automation, artificial intelligence, flexible data formatting.
DEMO: Watch How Phizzle’s IoT Edge Decision Engine Changes the Landscape for Real-time Anomaly Detection with Transportation and Connected Vehicles
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Processing is 100% dictated by configuration that describes the environment
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Automates trigger detection and handling to determine reaction to data-driven circumstances
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Our algorithm provides speed and scale—this demo shows 390 microseconds to process a single vehicle report in a resource constrained environment
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Our IoT Edge Decision Engine detects any hazard or future hazard and alerts the driver in sub millisecond timing
EDGMaker Data Management Platform: Pharmaceutical Manufacturing Dashboard
Take administrative control over your entire fleet of IoT Devices. On-board, activate, and de-activate any edge device remotely in near real-time.
Remotely monitor and track all edge devices for preventative and predictive maintenance. Close the loop on device usage to optimize energy savings and automate previously manual device checks.