Unikie joins Ericsson Industry 4.0 partner program as an Independent Software Vendor

Share this release: 

Share on facebook
Share on twitter
Share on linkedin
23.10.2020
Tampere, Finland
23.10.2020

Unikie announced today that it has completed the requirements to participate in Ericsson Industry 4.0 partner program, delivering value by utilizing Ericsson 5G solutions in creating disruptive autonomous Automotive and Industrial technology solutions, starting with Automated Factory Parking and Automated Valet Parking.

“Global Ericsson Industry 4.0 Partner status offers us concrete tools for taking our Automated Automotive Solutions to a level that supports the reliability and performance requirements critical for large Automotive Manufacturers and Tier 1 players”, says Jussi Mäntynen, General Manager of Unikie Inc. (US).

“As autonomous functionalities start to produce efficiency and safety not only for the end-customers but for OEM’s and the entire Automotive production ecosystem, it’s a massive advantage for us to have Ericsson as our partner for secure and high performance 5G Solutions”, he continues.

The Ericsson Industry 4.0 Partner program is a vehicle for solution providers who offer their technologies as a part of Industry 4.0 ecosystem. This program sets the standard for recognizing a partner’s investment in the tools and processes necessary to provide high return on investment for industrial customers using cellular connectivity as the foundation for their Industry 4.0 initiatives.

Purpose-built for industrial environments, Ericsson Industry Connect is a dedicated cellular network that provides comprehensive security, reliable coverage, enables device dense environments, and predictable latency. Leveraging this connectivity solution, enterprises benefit from full visibility of machines, processes and data, using 4G/LTE now, with a clear path to 5G.

Ericsson Private Networks provides high reliability, high performance and secure communications, fulfilling business critical and mission critical needs. The customizable solutions enable integration of diverse devices across a wide range of applications for industry enterprises.

“Adopting cellular connectivity solutions based on Ericsson Industry Connect and Ericsson Private Networks allows Unikie to offer industrial customers a solution that increases productivity, cuts cost and reduces risks”, says Thomas Noren, Head of Dedicated Networks at Ericsson.

“By becoming a member of the Ericsson Industry 4.0 partner program, Unikie is ready to play a pivotal role in improving business outcomes for customers.”

 

Press contact

Jussi Mäntynen, General Manager of Unikie Inc.
+1 669 207 9954
jussi.mantynen@unikie.com

 

Find More Information Online

ericsson.com/industry4.0

ericsson.com/en/internet-of-things/industry4-0/solutions

ericsson.com/en/internet-of-things/industry4-0/partners

unikie.com/industry4.0

unikie.com/en

unikie.com/en/expertise/automotive

unikie.com/en/expertise/intelligent-machines/

About Unikie

Unikie, founded in 2015, is a deep-tech company with exceptional software and hardware talent. We form a hub for expertise, combining experience and knowhow in multiple areas of Industry 4.0: Telecom, Automotive, Intelligent Machines and Industrial AI. Our areas of expertise also include 5G, Ultra-Secure, Integrations & Monitoring and Data-Analytics. Currently we are 300+ technology professionals. Our global operations are currently run from offices in Finland, Sweden, Germany, Poland and the United States.

 

About Ericsson

Ericsson enables communications service providers to capture the full value of connectivity. The company’s portfolio spans Networks, Digital Services, Managed Services, and Emerging Business and is designed to help customers go digital, increase efficiency and find new revenue streams. Ericsson’s investments in innovation have delivered the benefits of telephony and mobile broadband to billions of people around the world. The Ericsson stock is listed on Nasdaq Stockholm and on Nasdaq New York.

More Stories

Data Science, Machine Learning, Predictive Maintenance
Business, Data Science, Machine Learning, Predictive Maintenance

WANT TO KNOW MORE?

This website uses cookies to ensure you get the best experience on our website. By clicking “Got it” or by continuing to browse our website you agree to the terms we have set out for collecting user data and storing it in our database(s). Please see our Privacy Policy here.