San Francisco, CA – June 5, 2025 – Phizzle, Inc., will launch on June 10th a technical first for the IoT Edge: the industry's only purpose-built computer inside a gateway that is malware-hardened to format and normalize data from any device or machine in edge use cases, including pharma manufacturing, building automation and AI systems, among others.
"The promise of the IoT Edge has been limited by the problem of data formatting, making it nearly impossible to automate workflows without some kind of manual intervention. That's why we are working with pharma manufacturers like Merck to format and normalize data from air particle counters into LIMS systems." — Ben Davis, Phizzle Founder and CEO
According to Phizzle's Chief Innovation Officer, Michael Patrick, the EDGE Puck has three fundamental innovations in one integrated platform:
- A computer system is housed within the puck, which contains Phizzle's software solution, including a device agent and a data formatting engine that normalizes data for any database system.
- The puck itself is a gateway that solves the problem of connectivity to both any instrument and the necessary IT infrastructure.
- The software is read-only, meaning it can't be altered or manipulated by malware.
"Our microservices architecture software is at the heart of the innovation in the EDGE Puck. Data formatting in a vendor-agnostic way isn't possible with traditional architectures." — Michael Patrick, Chief Innovation Officer
Product Features & Specs:
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Malware-Hardened - Secure by Nature
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Easy Connectivity - 5 Simple Steps
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Data Normalization - Vendor-Agnostic Data Formatting Engine

Join Our Technical Webinar
To learn more about the EDGE Puck and see its capabilities in action, join Phizzle's upcoming Technical Webinar on June 10th. This live session will offer an inside look at the technology, use cases, and deployment strategies for data normalization at the IoT Edge.
Register HereThe Phizzle EDGE Puck is the first purpose-built computer inside a gateway that is malware-hardened to normalize data on the IoT Edge.