"PiPer is a low-cost option for deploying IoT connectivity based on the ubiquitous Raspberry Pi." - Rick Kriss
SAN DIEGO, Calif. (PRWEB) December 17, 2020
KLATU Networks, Inc. has launched PiPer, a new low-cost multi-probe Wi-Fi sensor device called a Mote, that connects mission critical cold-storage and incubation equipment with TRAXX, KLATU's patented, cloud-based predictive failure analytics system. With payback of less than three years, the PiPer platform is a new tool enabling the transformation from old school Fail and Fix set-point monitoring, to modern Predict and Prevent™ maintenance practices.
PiPer is a proven device that enables proactive management of mission critical assets – extending service life, reducing repair costs, predicting failures, and ultimately avoiding catastrophes. PiPer Motes are low cost, wireless sensor devices that connect lab equipment to TRAXXCloud, a powerful analytical platform for predictive and real-time monitoring.
PiPer transforms a Raspberry Pi into an IoT multi-probe sensor device with the power of a desktop computer by the addition of industrial grade USB sensors and KLATU’s TRAXX/OS™ software. Using existing Wi-Fi infrastructure for sensor-to-cloud communications and compatibility that supports WEP/WPA/WPA2 security protocols, KLATU provides the industry’s most reliable system as measured in terms of uptime.
Rick Kriss, KLATU’s Chief Executive Officer, described PiPer as a low-cost option for deploying IoT connectivity across an organization’s equipment, based on the ubiquitous Raspberry Pi. According to Kriss, Raspberry Pi has an installed base of 30 million devices; it is used in thousands of commercial applications and is widely available for easy access to the powerful TRAXXCloud™.
ABOUT KLATU NETWORKS
KLATU Networks, Inc. delivers wireless sensor network solutions helping Life Sciences companies optimize the management of cold storage assets and other mission critical laboratory equipment. Our products enable customers to manage risk, reduce operating costs, achieve energy savings, and sustain near-zero breakdown performance by transforming traditional maintenance practices from Fail and Fix maintenance practices to Predict and Prevent methodologies.