Kyiv, April 15, 2020 – Kyivstar, the leading telecom operator of Ukraine and TUPL, a company specializing in AI powered automation of network operations, announced a cooperation agreement for the implementation of a revolutionary suite of solutions using Artificial Intelligence and Machine Learning for Network Performance & Service Quality Management
Valentin Neacsu, Kyivstar Technical Director: “Kyivstar is constantly improving its users’ experience by providing advanced technology able to proactively identify and measure customer experience while using our innovative services. In this respect, TUPL offers advanced techniques based on Machine Learning algorithms with the aim of offering a 360-degree view of the quality of experience”.
Petri Hautakangas CEO, Tupl: “Being selected by Veon after thorough evaluation and proof-of-concepts is a key achievement for TUPL. We are proud to have succeeded with such a demanding RFQ, and this proves once again that the TUPL automation approach does deliver what it promises. We are now looking forward to advancing and expanding our cooperation with Veon in additional markets, and to delivering a seamless Smart Automation environment across the Veon Group.
Kyivstar and Tupl finalized this deployment at the end of Q1’2020 and currently, the project is expanding use cases.
Kyivstar is the number one Ukrainian telecom operator with 26.2 million subscribers. The Company provides communications and data services based on a broad range of mobile and fixed-line technologies, including 4G. The Company is a business-unit of VEON – one of the world’s largest integrated telecommunications Companies, headquartered in the Netherlands, with shares quoted on NASDAQ, New York and Euronext, Amsterdam. Kyivstar has been operating in Ukraine for 22 years and is recognized as the largest taxpayer in the telecom market, one of the best employers as well as a socially responsible company.
Founded in 2014 by telecom, big data and AI veterans, Tupl is a pioneer in digital transformation in the telecom industry through AI powered automation of network operations. Its AI Engine, TuplOS, utilizes machine learning and several other utilities to enable faster innovation cycles for network and customer care operations with wireless operators across the US, Japan, Mexico, and Europe. Tupl is headquartered in the US in Bellevue, Washington with presence in Spain, Mexico and Japan, and is continuing its rapid global expansion.