AI for Network Operations

Our AI Engine, TuplOS, automates your engineering tasks for customer care and network operations

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Our clients and partners

  • T Mobile logo
  • SoftBank Group logo
  • Tier-1 Group Operator
    LatAm

  • Tier-1 Group Operator
    Eurasia

  • Tier-1 Operator
    Japan

  • Tier-1 Group Operator
    Europe

  • Deloitte logo
  • amdocs logo
  • Tech Mahindra logo

Global recognition for Tupl

An Introduction to Tupl

Download our white paper, Implementing Operational AI in Telecom Environments Learn More

Frequently Asked Questions

  • Is this another CEM solution?

    Legacy CEM and SQM solutions put their focus on Visualizing the Customer Experience. Tupl solution builds on top to resolve those problems, in a (closed-loop) automated manner, leveraging Robotics process automation empowered by AI. Tupl solution can add significant and measurable value on top of any existing system, including CEM, for Operations Use Cases (e.g. Customer Care Automation and Network Operation Automation)

  • Similar project attempts with complex system integration took us over a year, before we were able to assess any business impact. How long does it take for Tupl?

    Thanks to the TuplOS technology, which allows us to leverage existing Big Data and AI technologies, our customers are able to realize benefits from 6 weeks since project commencement. This allows us to offer our solutions also in rental and SaaS mode.

  • What does Tupl stand for?

    It's short for tuple, multidimensional coordinate system in mathematics, or rows/records in programming. Indicates our passion for using Big Data to solve complex problems in network engineering.

  • We are already working with our own Big Data platform. Is your solution compatible?

    Tupl is built upon Big Data technologies stack using an open architecture, which allows us to adapt to existing data lakes and to leverage any existing environment and investments.

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Tupl today