Press Releases

Tupl decides to acquire Digital Agriculture company

BELLEVUE, Washington – August 11, 2020 – Tupl, Inc. today announced that it has signed an agreement with B2FARM Corporation’s Founder and CEO, Antonio Manuel Adrian, to acquire 100% of the shares.

Shinichi Kanno Joins Tupl as Head of APAC Region and as a Member of Tupl Leadership Team

BELLEVUE, Washington – August 1st, 2020 – Tupl, Inc. announces today that Shinichi Kanno has joined Tupl to head our APAC operations. In addition, Shin will be integral part of our company’s Leadership Team. Shin brings over 20 years of leadership positions in key software vendors, spanning from Mitsubishi, Nokia Networks and Cisco to Procera and Sandvine.

Kyivstar and Tupl Implement AI and ML Powered Network Automation

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

Tupl Launches SaaS-Based Network Operations Automation Tools to Reach More Carriers Worldwide

BELLEVUE, WA February 26, 2020 – Tupl, a pioneer in AI-powered network operations automation, today announced SaaS-based versions of its popular applications for Automatic Customer Care Resolution (ACCR), NOC Automation, Network Advisor, and Proactive Care. Tupl was first to market with AI-managed network operations automation and is the first to bring those same capabilities to a SaaS offering. The SaaS-based tools make the technology accessible to more wireless carriers worldwide.

Deloitte’s TEE and TUPL create joint AI based automation offer for telecommunications engineering

Bellevue, October 14th 2019 - Deloitte Portugal, through the EMEA Telecom Engineering Centre of Excellence (TEE), and TUPL, a company specialized in AI powered automation of network operations, announced a cooperation agreement for the creation of a differentiated offer in the telecommunications sector, which combines automation business processes and artificial intelligence.

Tupl named a Gartner ‘Cool Vendor’ for Network Operations

BELLEVUE, WA USA – June 18, 2019 – Tupl, a market leader in intelligent process automation, announced today that it has been named a “Cool Vendor” by Gartner in their 2019 report “Cool Vendors in Communications Service Provider Network Operations”.

Tupl and Softbank working together on Intelligent Process Automation

BELLEVUE, Washington – April 23, 2019 – Tupl, a market leader in intelligent process automation, is continuing to grow its partnership with Softbank on their digital transformation initiatives. Be it Tupl’s Network Advisor, or AI Engine for Softbank’s innovative IoT Parking Sharing service, Tupl has been and continues to be a key element in bringing…

TUPL has contributed to beta testing of Radio Access Network Automation in SoftBank with TUPL’s Network Advisor

BELLEVUE, Washington – September 10, 2018 – Tupl, a market leader in automation for the wireless industry, announced that they concluded a beta test to automate tuning of SoftBank’s Radio Access Network (RAN). In the beta test, Tupl developed an AI model to prepare SoftBank’s radio network for AI automation using their Network Advisor product and assessed the effectiveness of the model.

Tupl Announces PoC with SoftBank in Japan to Provide IoT Solutions for the Sharing Industry

BELLEVUE, Washington – July 13, 2018 – Tupl, a market leader in automation for the wireless industry, today announced a new PoC (Proof of Concept) with SoftBank to provide an IoT solution for SoftBank’s sharing services such as a shared parking service and a shared bicycle service.

Tupl Launches Machine Learning Solution for the Wireless Industry

BELLEVUE, Washington – May 24, 2018 – Tupl, a market leader in automating wireless network operations, today launched the Tupl ML Toolkit as part of the TuplOS AI Engine to provide wireless network engineers with the ability to build machine learning models seamlessly.