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


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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. Beta test results indicated that Tupl’s AI model was more than 90% accurate in a specific area of assessing network issues, and proved it is more effective and advanced in executing network automation tasks which SoftBank has been promoting. Tupl will provide continued support for the next phase trial across RAN for commercial use.

 

Petri Hautakangas, Tupl CEO, said: “After a very successful beta, we are now moving to the next phase of our collaboration with SoftBank, which will bring state of the art AI automation to their network. We’re confident that we’re the right partner to work closely with SoftBank to enable significant process efficiencies and quality improvements for their RAN system.”

 

Tupl’s Network Advisor solution provides automatic network troubleshooting using machine learning to conduct root cause analysis and resolve issues. It supports both supervised and unsupervised learning. For supervised learning, it is possible to do intuitive training and re-training to improve the AI model. Tupl Network Advisor is perfect for complex networks including multilayer & multivendor networks which is a typical environment of Telecom networks, and various use cases. Tupl Network Advisor won a Fierce Innovation Award in 2017.

 

Learn more about the Tupl’s Network Advisor solution at www.tupl.com.

 

About Tupl

Founded in 2014 by telecom, big data and AI veterans, Tupl is transforming customer access and experience in the telecom industry thorough improving operations with leading wireless operators across the US, Canada, Japan, Mexico, and Europe. Its AI Engine, TuplOS, utilizes machine learning and several other utilities to enable faster innovation cycles for network and customer care operations. Tupl is headquartered in the US in Bellevue, Washington with presence in Spain, Mexico and Japan, and is continuing its rapid global expansion in 2018. To learn more about Tupl and request a demo, visit www.tupl.com.

 

Contact

Wistar Kay
Wistar.kay@tupl.com
+1.206.605.6602


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


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TuplOS AI engine will enable predictive demand and revenue generation for sharing services in this growing sector of the sharing economy

 

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. Through this PoC, Tupl will provide its AI engine “TuplOS”, which leverages AI technology, to build a model and application that is integrated with SoftBank’s data. The turn-key platform will be able to predict demand as well as revenue generation for sharing services all within an accessible user interface.

 

Petri Hautakangas, Tupl CEO, said: “We will provide SoftBank with the technology and tools to grow a potentially significant market segment within the sharing economy. We’re looking forward to working with SoftBank, and further showcasing how our TuplOS platform and our use cases are expanding outside of the telecommunications market and into other key branches of the wireless industry, such as IoT.”

 

In recent years, the sharing economy has been expanding into a wide variety of market segments. As part of the initiative for the growing market, SoftBank is going to work with business partners such as enterprises and individuals through its sharing services by leveraging SoftBank’s own IoT platform which manages IoT sensors. Tupl’s AI engine will be combined with the Softbank IoT platform to create new value to the services by predicting demand and revenue generation.

 

Tupl offers AI and machine learning-based solutions that dramatically reduce operational costs and enable easy scalability. The TuplOS AI Engine builds effective models and solutions using partner data, which can be leveraged to create automation-powered products and applications for internal or commercial use.

 

About Tupl

Founded in 2014 by telecom, big data and AI veterans, Tupl is transforming customer access and experience in the telecom industry thorough improving operations with leading wireless operators across the US, Canada, Japan, Mexico, and Europe. Its AI Engine, TuplOS, utilizes machine learning and several other utilities to enable faster innovation cycles for network and customer care operations. Tupl is headquartered in the US in Bellevue, Washington with presence in Spain, Mexico and Japan, and is continuing its rapid global expansion in 2018. To learn more about Tupl and request a demo, visit www.tupl.com.

 

Media

Kate Pietrelli
kate@pathadvisors.com
+1 760.518.2633

 

The names and logos of SoftBank and SoftBank are registered trademarks or trademarks of SOFTBANK Group Corporation in Japan and other countries.


Tupl Launches Machine Learning Solution for the Wireless Industry


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New Tupl ML Toolkit enables engineers to build models effortlessly that automatically design and apply machine learning tasks to improve network operations in just hours

 

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. Engineers simply route their data into a machine learning model, which learns from engineers’ examples and automates their complex investigation tasks. Machine learning models can automate tasks to streamline network operations and improve customer experience. During a beta period, customers tested the Tupl ML Toolkit functionality and were able to generate a machine learning model that delivered results within hours of deployment. Starting today, the Tupl ML Toolkit module of TuplOS AI Engine is available globally to wireless companies through Tupl Operation Automation use cases.

 

Machine learning models are very challenging to implement given that the builder requires both domain knowledge of the relevant data to be consumed by the model and a solid understanding of the techniques that help the model effectively learn from that data. In wireless operations, engineers would greatly benefit from machine learning models that automate and scale highly complex tasks using their data, yet engineers typically aren’t experts in model design. The Tupl ML Toolkit enables the creation of machine learning models by engineers with little to no experience in this field. Additionally, application integrators who want to extend application functionality would also vastly benefit from the Tupl ML Toolkit.

 

Petri Hautakangas, Tupl CEO, said: “The Tupl ML Toolkit is our way of bringing our machine learning technologies to engineers in an easy-to-use solution. Our Toolkit helps improve the speed and consistency of engineering decisions, and facilitates the identification of previously unforeseen issues. Additionally, the Tupl ML Toolkit has a wide array of applications that include use cases for IoT and automated management of other complex networks, such as utilities and enterprise. We look forward to seeing how our customers leverage the toolkit to streamline their operations.”

 

Pablo Tapia, Tupl CTO, said: “What’s unique about the methodology in our solutions is the simplicity of digitalizing engineering knowledge by a combination of supervised and unsupervised learning techniques. With our Toolkit we enable customers to keep full visibility on their decisions, which provides a continuous cycle of model refinement that moves away from a ‘black box’ approach. The Tupl ML Toolkit gives engineers that transparency, and it also facilitates the overall data cleaning and preparation process to turn raw data into machine learning features, a process that typically takes 60-80% of the overall effort in a machine learning exercise. By offering this toolkit, we hope to enable the growth and adoption of more machine learning in the wireless industry.”

 

Tupl offers AI and machine learning-based solutions that dramatically reduce operational costs through efficiencies in network issue detection and resolution. Tupl’s AI Engine, TuplOS, turns the telecom operator’s engineering experience into a digital knowledge base that is leveraged to build use-cases that can then be the basis to automate and improve existing processes.

 

To learn more about the Tupl ML Toolkit, visit www.tupl.com.

 

About Tupl

Founded in 2014 by telecom, big data and AI veterans, Tupl is transforming customer access and experience in the telecom industry thorough improving operations with leading wireless operators across the US, Canada, Japan, Mexico, and Europe. Its AI Engine, TuplOS, utilizes machine learning and several other utilities to enable faster innovation cycles for network and customer care operations. Tupl is headquartered in the US in Bellevue, Washington with presence in Spain, Mexico and Japan, and is continuing its rapid global expansion in 2018. To learn more about Tupl and request a demo, visit www.tupl.com.

 

Media Contact

Kate Pietrelli
kate@pathadvisors.com
+1.760.518.2633


Armando Almeida Joins Tupl Board of Directors


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Former CEO of Portugal Telecom and EVP of Nokia Siemens Networks brings industry expertise to a leading network automation platform

 

BELLEVUE, Washington – February 22, 2018 – Tupl, Inc. today announced that Armando Almeida has joined the company’s Board of Directors. Armando brings over 30 years of international executive leadership experience in the Communications and IT industries. He offers vast knowledge and experience within Corporate, Enterprise, SMB and Consumer sectors, has participated in various mergers and acquisitions, and is a Founder, Board Member and Investor in a number of companies. Armando was CEO of Portugal Telecom, the largest Communication Service Provider in Portugal. He was also a member of the Executive Board of Nokia Siemens Networks where he served as Executive Vice President (EVP) of Europe and Africa Cluster and EVP of Global Services. Before, he was also Vice President for the Latin America region. He has worked in the IT industry with Hewlett Packard and Compaq Computers. He is also a counselor and founding member of the Portuguese Diaspora Council.

 

Petri Hautakangas, CEO of Tupl, said: “Armando’s breadth of global experience at the board and CEO level will be invaluable as we expand our wireless and wireline network operations business globally, develop new partnerships and move into an increasing number of markets and industries. His expertise and leadership will help us advance the features of our platform to unparalleled industry-leading status. Managing growth over the next year and beyond is going to be crucial, and we view Armando’s leadership as both strategic and timely for our business.”

 

Almeida responded: “Expertise and innovation in automation is a requisite for tomorrow’s telecom leaders. Tupl could not be better positioned with its market-leading platform to enable this transformation. I am delighted to partner with Petri and his team to help wireless and wireline network operators around the world leverage this game-changing technology.”

 

Tupl’s automated solutions leverage artificial intelligence (AI) and machine learning (ML) to resolve technically complex issues for wireless and wireline network operations and other verticals such as utilities. Its platform handles all the needs of telecom companies from customer care, to network optimization and troubleshooting tasks, to data collection and analysis, all within a single integrated system. Robust, secure, and feature-rich, Tupl helps its partners dramatically reduce operational costs through efficiencies in network issue detection and resolution.

 

For more information on Tupl, please visit www.tupl.com.

 

About Tupl

Founded in 2014 by telecom, big data and AI veterans, Tupl is transforming customer access and experience in the telecom industry thorough improving operations with leading telecom operators across the US, Canada, Japan, Mexico, and Europe. Its AI Engine, TuplOS, utilizes ML and several other utilities to enable faster innovation cycles for network and customer care operations. Tupl is headquartered in the US in Bellevue, Washington with presence in Spain, Mexico and Japan, and is continuing its rapid global expansion in 2018. To learn more about Tupl and request a demo, visit www.tupl.com.

 

Media Contact

Kate Pietrelli for Tupl Inc.
kate@pathadvisors.com
+1 760.518.2633


Tupl Deploys AI Technology with T-Mobile US


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Tupl enables T-Mobile customer care reps to serve their customers more effectively, and free up engineering resources to make better analytics-based decisions.

 

BELLEVUE, Washington – February 14, 2018 – Tupl, a market leader in automating wireless network operations, announced today that T-Mobile has deployed its Automated Customer Care Resolution (ACCR) tool. Tupl’s platform uses Artificial Intelligence (AI) to resolve technically complex and time-consuming issues. The ACCR tool provides T-Mobile’s customer care reps with detailed and easy to understand cause reports and technical resolutions, so they can more quickly serve customers. The ACCR tool is 100 times faster and up to 4 times more accurate than legacy resolution methodologies, providing automation levels around 90%. .

 

Brian King, T-Mobile’s SVP of Technology Service Delivery & Operations, said: “At T-Mobile, we’re obsessed with the customer experience, and Tupl’s tool has enabled us to respond to our customers much faster on technical issues. Solutions like this help make T-Mobile #1 in customer satisfaction in US wireless.”

 

Petri Hautakangas, Tupl CEO, said: “Our ACCR tool has enabled T-Mobile US to tackle the most complex technical issues through automation by AI. Benefits include a very high automation level, 100 times faster speed to response, and improved accuracy. Additionally, the results are 100% consistent, which would be otherwise impossible to achieve without our ACCR solution. Working with T-Mobile US has been a privilege, and we look forward to providing additional AI-based solutions that simplify the operations of the T-Mobile network.”

 

Tupl offers AI solutions that dramatically reduce operational costs through efficiencies in network issue detection and resolution. Tupl’s AI Engine, TuplOS, turns the telecom operator’s engineering experience into a digital knowledge base that is leveraged to build use-cases that can then be the basis to automate and improve existing processes.

 

Learn more about the existing use cases at www.tupl.com.

 

About Tupl

Founded in 2014 by telecom, big data and AI veterans, Tupl is transforming customer access and experience in the telecom industry thorough improving operations with leading wireless operators across the US, Canada, Japan, Mexico, and Europe. Its AI Engine, TuplOS, utilizes machine learning and several other utilities to enable faster innovation cycles for network and customer care operations. Tupl is headquartered in the US in Bellevue, Washington with presence in Spain, Mexico and Japan, and is continuing its rapid global expansion in 2018. To learn more about Tupl and request a demo, visit www.tupl.com.

 

Media Contact

Kate Pietrelli for Tupl Inc.
kate@pathadvisors.com
+1 760.518.2633


Tupl – Winner in Fierce Innovation Awards: Telecom Edition


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Bellevue Washington – November 20,2017 – Tupl announced today that it has been selected as a winner in this year’s Fierce Innovation Awards: Telecom Edition, a carrier-reviewed awards program from the publisher of FierceWireless and FierceTelecom. Tupl was recognized as a winner in the category of Network Testing and Measurement.

 

Tupl was selected for its innovative, industry leading product, Network Advisor, an engineering assistant that helps identify and classify problems in the network. It includes a set of utilities to simplify the use of AI technologies by network engineers, who can easily create models and train the system through simple UI screens.

 

All applications were reviewed by an exclusive panel of executives from major telecommunications companies including Sprint, Verizon Wireless and Telia Carrier AB. All applications were evaluated based on the following criteria: effectiveness, ease of use/ ROI, true innovation and end-user impact.

 

Winners will be recognized at the Next Gen Wireless Networks Summit in Dallas, TX on Tuesday, November 28th.

 

Tupl’s expertise in networks and AI has gone beyond Big Data insights and built the world’s first use cases with complex automation all the way to closed loop level. The Tupl approach is unique; operators provide their most pressing manual work processes, and Tupl sets out to automate and improve those using Intelligent Process Automation (IPA) techniques. Customers include telecom operators in the US, Japan, Mexico and Europe and use cases range from customer care to network optimization, automated alarm handling, even to network construction management and prediction.

 

“We are all about automating by AI the most complex and repetitive tasks engineers need to otherwise do manually.” noted Tupl CEO Petri Hautakangas.

 

About Tupl
 
Founded in 2014 by telecom veterans from T-Mobile and Nokia, Tupl helps wireless operators across the U.S., Canada, Japan, Mexico, and Europe improve their operations, much of which was built to support legacy 2G networks. Its software, TuplOS, utilizes machine learning and data analytics technology to enable faster innovation cycles for networks and customer care operations.

 

Tupl is headquartered in the US in Bellevue Washington with presence in Spain, Mexico and Japan and is continuing rapid expansion in 2018. To learn more about Tupl and ask for demo sessions, visit www.tupl.com

 

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