ZTE Corporation (0763.HK / 000063.SZ), a global leading provider of integrated information and communication technology solutions, partnered with Grameenphone, Bangladesh's largest telecommunications operator, have signed a Memorandum of Understanding (MoU) to strengthen collaboration on the initiative of Large Language Model (LLM) and Agentic AI technologies during MWC Barcelona 2026. This strategic partnership aims to build highly autonomous networks and accelerate Bangladesh's digital transformation.
The signing ceremony was attended by senior executives from both Grameenphone and ZTE. It also reflects the shared commitment of both parties to deepen cooperation in next-generation network innovation.
Mr. Yasir Azman, CEO of Grameenphone, said, "At Grameenphone, our mission is to deliver seamless, intelligent, and inclusive digital experiences to customers across Bangladesh. This strategic partnership with ZTE marks a pivotal step in our journey toward intelligent network transformation. By harnessing the power of LLMs and Agentic AI, we will significantly enhance network automation, empower businesses, enrich customer experiences, and jointly create a more resilient and innovative digital ecosystem."
Mr. Bai Yang, President of South Asia Region at ZTE, emphasized the innovative potential of this collaboration, "We are delighted to partner with Grameenphone to apply cutting-edge AI technologies to high-value scenarios. Our joint efforts in intelligent agent applications will forest scalable best practices, effectively bridging technological and talent gaps. This strategic partnership will accelerate the network evolution from human-driven operations towards network autonomy, further empowering Bangladesh's digital economy."
Under this partnership, both parties will deploy a suite of intelligent agents, such as cross-domain fault agent, RAN fault agent, core fault agent, and customer complaint handling agent, based on ZTE's AIR Net autonomous network solution. Leveraging the Agentic AI architecture and A2A-T protocol, the initiative aims to enhance the closed-loop automation of individual agents and enable seamless multi-agent collaboration. This facilitates cross-domain, and cross-layer orchestration, establishes end-to-end intelligent operations, and significantly boosts operational efficiency.
Furthermore, both parties will jointly participate in TM Forum Catalyst projects on autonomous networks and conduct the Autonomous Network Level Assessment, thereby establishing a replicable, AI-powered blueprint for the global telecommunications industry.
