IIoTStartupstoWatchin2020
GEM:
Campbell, CA 95035, U.S.A
GEMBO Named Among the 7 IIoT Startups to Watch in 2020
GEMBO mentioned for the second time in two years among the top IIoT Startups to watch
Campbell, CA, March 02, 2020
– GEMBO, leading Industry 4.0 Industrial IoT predictive analytics solution provider for infrastructure optimization, also known as GEM, named by Thomas Insights among the 7 Industrial IoT startups to watch in 2020. Earlier, in 2019, GEMBO was named by Forbes in the top 25 IoT startups to watch.
GEMBO PRECARE creates digital twins for any legacy or new factory floor machinery, turning these machines into Internet of Things (IoT) devices. With GEMBO PRECARE manufacturers gain access to real-time critical machine operational data, OEE (Overall Equipment Effectiveness) analytics and predictive analytics, including predictive maintenance, which helps them increase the ROI of their manufacturing assets. Support for powerful hardware at the edge shifts latency-sensitive processing tasks close to where it is needed, eliminating inherent latency associated with pure cloud processing.
GEMBO PRECARE agents collect machine, operator and ambient data through sensors for edge and cloud processing. GEMBO PRECARE agents add sensors where they are lacking or where access to existing sensors is not possible, access sensor data from PLCs where accessible and access machine and manufacturing data from data stores.
Although there are many Industry 4.0 solution providers in the market, GEMBO stands out among these as the select few that focus on what really matters to manufacturers at the end of the day, i.e., margin and revenue growth. OEE is at the heart of measuring overall effectiveness of a manufacturing line by measuring three key components of the line, namely, Availability, Performance and Quality.
The OEE Availability KPI measures run time relative to production time, where run time is equal to production time minus planned and unplanned downtime. The OEE Performance KPI measures actual run rate relative to the ideal run rate. The OEE Quality KPI measures quantity of good output units relative to total output units, which includes good and bad output units. OEE is the product of these three KPIs.
“Of central importance to manufacturers the ability to analyze how OEE and changes in OEE directly affect manufacturing output and the ability to analyze how OEE and changes in OEE directly affect manufacturing revenues”, said Gal Garniek, CEO of GEMBO. “Therefore, having the ability to perform such analyses in GEMBO PRECARE provides tremendous value to manufacturers and GEMBO is in a unique position to provide its customers with such value through its experience and patent portfolio in IIoT and predictive analytics for OEE.”
GEMBO PRECARE not only provides real-time OEE, OEE Availability, OEE Performance and OEE Quality KPIs, but provides the tools as well to trace root causes of degradation in any of these KPIs. This provides manufacturers with valuable insights how to improve the OEE of their manufacturing lines.
GEMBO PRECARE further enables manufacturers with its powerful OEE Financial Impact Analysis tool to analyze upfront the ROI of any measures considered to improve OEE and therefore, the crucial ability to choose the measure or measures with the best ROI that deliver the best OEE improvement.
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About GEM
GEMBO provides best-in-industry end-to-end IIoT real-time predictive analytics and OEE solutions for the manufacturing industry as well as other industries, such as energy, retail, healthcare, etc. GEMBO PRECARE increases margins and revenues, easily integrates with 3rd party back-end and edge systems, and is available as Platform as a Service or Platform as a Product. GEMBO is headquartered in CA, with offices in Israel, India and The Philippines.
For more information visit
www.gembo.co, or send email to sales@gembo.co.