Elmodis
We Make Industry Smarter.
Overview
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HQ Location
Poland
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Year Founded
2015
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Company Type
Private
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Revenue
< $10m
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Employees
11 - 50
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Website
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Twitter Handle
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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 platform as a service (paas), analytics and modeling, and processors and edge intelligence technologies.
Technology Stack
Elmodis’s Technology Stack maps Elmodis’s participation in the platform as a service (paas), analytics and modeling, and processors and edge intelligence 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
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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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