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Elmodis
We Make Industry Smarter.
Overview
HQ Location
Poland
Year Founded
2015
Company Type
Private
Revenue
< $10m
Employees
11 - 50
Website
Twitter Handle
Company Description
The strength and foundation of Elmodis rest on the professionals of various fields of expertise, who have been building the company based on an innovative idea of its founders, since 2015. Engineers Artur Hanc and Marcin Święch in their several-years-long careers have developed various types of solutions for industry in the field of machine diagnostics and monitoring. The technology which they have created together, bearing in mind the large market of electrically-driven industrial machines, has become successful and gave rise to Elmodis company.
IoT Solutions
Elmodis system enables machine manufacturers to reduce the costs of guarantee repairs and improve their products. End users, on the other hand, have access to significant information regarding the machine operation and possible occurrence of any failures. This enables prevention of unscheduled outages, reduction of machine operating costs and, consequently, increases the availability of the entire machine stock.
Key Customers
Martech Plus, Eplan, Damel,Owent, Ponar
IoT Snapshot
Elmodis is a provider of Industrial IoT analytics and modeling, processors and edge intelligence, and platform as a service (paas) technologies.
Technology Stack
Elmodis’s Technology Stack maps Elmodis’s participation in the analytics and modeling, processors and edge intelligence, and platform as a service (paas) IoT Technology stack.
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Devices Layer
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Edge Layer
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Cloud Layer
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Application Layer
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Supporting Technologies
Technological Capability:
None
Minor
Moderate
Strong
Case Studies.
Case Study
Monitoring of Pressure Pumps in Automotive Industry
A large German/American producer of auto parts uses high-pressure pumps to deburr machined parts as a part of its production and quality check process. They decided to monitor these pumps to make sure they work properly and that they can see any indications leading to a potential failure before it affects their process.
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