Vietnamese Telecom Giant VNPT Elevates Network Quality with AI-Native Assurance Platform

Vietnam's major telecommunications provider, VNPT, has selected RADCOM's advanced AI-native, cloud-native service assurance platform to fortify the quality and reliability of its extensive network, particularly focusing on its roaming services.

The Strategic Shift to AI-Powered Assurance

In a significant move to enhance its network capabilities, Vietnam Posts and Telecommunications Group (VNPT), a leading state-owned telecom operator in Vietnam with over 30 million subscribers, has chosen RADCOM to deploy an AI-native, cloud-native service assurance solution for its roaming network infrastructure. This decision follows a comprehensive competitive tender process where RADCOM successfully displaced the previous assurance vendor, highlighting the strength and effectiveness of its artificial intelligence-driven platform and its established reputation among top-tier global operators. The upgrade is set to provide VNPT with advanced tools to proactively monitor and manage its network, ensuring a superior experience for its vast customer base.

This strategic adoption of cutting-edge technology reflects a broader trend within the telecommunications industry towards leveraging artificial intelligence and cloud computing to manage increasingly complex and dynamic network environments. Traditional service assurance methods, often reactive and reliant on manual intervention, are proving inadequate for the demands of modern networks, particularly with the proliferation of 5G, IoT, and diverse digital services. AI-native solutions, like the one being implemented by VNPT, offer a paradigm shift, enabling predictive analytics, automated anomaly detection, and real-time insights that were previously unattainable. The emphasis on cloud-native architecture further ensures scalability, flexibility, and operational efficiency, allowing operators to adapt swiftly to evolving technological landscapes and customer expectations.

VNPT's commitment to integrating such advanced systems underscores its dedication to maintaining a competitive edge in a rapidly transforming digital economy. By proactively investing in AI-powered assurance, the operator aims not only to address current operational challenges but also to build a resilient and future-proof network infrastructure capable of supporting the next generation of telecommunications services. This foundational change is critical for delivering consistent high-quality service, minimizing downtime, and optimizing resource utilization across its network, ultimately translating into enhanced customer satisfaction and operational savings.

Unpacking RADCOM ACE: A Multi-Cloud, AI-Driven Solution

The core of VNPT's new service assurance strategy will be the RADCOM ACE platform, a system celebrated for its proven expertise in multi-cloud deployments. This cloud-native platform is designed to operate seamlessly across various cloud environments, providing VNPT with comprehensive, real-time visibility into subscriber activities and network performance. A key feature of RADCOM ACE is its integration of artificial intelligence (AI) and machine learning (ML) algorithms. These advanced capabilities enable the system to perform sophisticated anomaly detection, identifying potential issues within the network before they escalate and impact the end-user experience. This proactive approach is a significant upgrade from reactive problem-solving, allowing for preemptive action and minimizing service disruptions.

The deployment of RADCOM ACE in a containerized, multi-cloud architecture offers several distinct advantages. Firstly, it provides VNPT with a highly scalable and efficient foundation for assurance. As the operator's network expands and new services are introduced, the platform can grow and adapt dynamically without requiring extensive overhauls. This flexibility is crucial for telecommunication companies operating in fast-evolving markets, where the rapid introduction of new technologies and services is a constant. Secondly, the cloud-native design ensures optimal resource utilization and operational agility, reducing the overhead typically associated with managing complex network infrastructure. By leveraging cloud principles, VNPT can achieve greater automation, simplify deployments, and improve overall operational efficiency, freeing up resources to focus on innovation and service enhancement.

Furthermore, the real-time, subscriber-aware visibility offered by RADCOM ACE means that VNPT can gain deeper insights into individual customer experiences. This level of granularity is vital for identifying localized issues, understanding service quality from the user's perspective, and providing personalized support. By moving beyond aggregate network metrics, VNPT can tailor its network management and service delivery strategies to meet the specific needs and expectations of its diverse subscriber base. This holistic view, powered by AI and cloud technology, positions VNPT to not only maintain but also continuously improve the quality and reliability of its telecommunications services.

A Strategic Win and Future Expansion for RADCOM

For RADCOM, the selection by VNPT represents a significant strategic milestone, particularly in the competitive Asia-Pacific market. Securing this contract, especially by displacing an incumbent provider, serves as a strong validation of RADCOM's technological leadership and its ability to deliver tangible value to major telecommunications operators. Benny Eppstein, the Chief Executive Officer at RADCOM, emphasized the importance of this achievement, noting that VNPT is recognized as one of Asia's most technically advanced operators and set a very high standard during the selection process. This competitive win is expected to bolster RADCOM's presence and reputation across the region, potentially paving the way for further collaborations with other large carriers.

The contract with VNPT is not just about the current deployment; it also lays the groundwork for future expansion of assurance capabilities across VNPT's broader network. Initially focused on roaming services, the modern assurance foundation established by RADCOM ACE positions VNPT to extend real-time, AI-driven assurance beyond this initial scope. As VNPT's network and services continue to grow and evolve, the scalability and adaptability of the RADCOM platform will allow for a seamless integration of assurance across other network segments, including fixed-line services, 5G infrastructure, and emerging IoT applications. This phased approach enables VNPT to progressively enhance its network monitoring and management, ensuring consistent service quality across its entire operational footprint.

This contract is also part of a larger trend of successes for RADCOM, as the company had previously announced securing three significant contracts following the close of the second quarter of 2026. These multiple wins underscore the growing demand for AI-native, cloud-native assurance solutions in the telecommunications sector and highlight RADCOM's strong position in meeting these evolving industry needs. The strategic importance of the VNPT deal extends beyond immediate revenue, serving as a powerful reference point that can attract other operators in the Asia-Pacific region and beyond, solidifying RADCOM's role as a key innovator in network service assurance.

The Landscape of Modern Telco Operations

VNPT, operating under the VinaPhone brand for its mobile services, stands as a testament to technical sophistication and scale within the Asia-Pacific region. As a state-owned, Tier-1 operator, it possesses significant in-house development capabilities, contributing to its reputation for network quality and robust infrastructure. The decision to integrate RADCOM's AI-native solutions into its framework reflects a broader industry imperative: to move beyond traditional network management paradigms and embrace intelligent, automated systems. This shift is particularly crucial given the relentless demand for higher bandwidth, lower latency, and more reliable connectivity driven by digital transformation across all sectors.

RADCOM's flagship RADCOM ACE platform, with its integrated AI Operations (AIOps) capabilities, is designed precisely for these modern challenges. It leverages AI-driven analytics and, increasingly, generative AI (GenAI) to enhance customer experiences by providing end-to-end network observability. From the radio access network (RAN) to the core, the platform captures and analyzes real-time data, enabling operators to gain a complete picture of their network's health and performance. This comprehensive view allows for predictive insights, helping to anticipate and mitigate issues before they impact services, thereby reducing operational costs and improving overall network efficiency.

The open, vendor-neutral, and cloud-agnostic nature of RADCOM's solutions further ensures their adaptability and longevity. This flexibility is critical for telecom operators who often manage diverse vendor ecosystems and require solutions that can seamlessly integrate with existing business support systems (BSS), operations support systems (OSS), and service management platforms. By enabling next-generation network automation and optimization, RADCOM empowers operators like VNPT to not only ensure exceptional service quality but also to build customer-centric networks that can quickly adapt to changing market demands and technological advancements. The objective is clear: deliver superior user experiences while simultaneously achieving greater operational efficiency and innovation in a competitive global market, as observed by the Financial Times.

Why it matters

This collaboration between VNPT and RADCOM signifies a critical turning point for telco infrastructure and operations, particularly regarding the deployment of AI in critical network functions. For in-field technicians and data centre operations, the introduction of AI-native service assurance translates directly into more precise anomaly detection, predictive maintenance capabilities, and significantly reduced diagnostic times. Instead of reacting to widespread outages or customer complaints, AI-driven systems can pinpoint localized issues or potential failures before they materialize, guiding technicians to exact problem areas and allowing data centre teams to optimize resource allocation more effectively. This shift empowers network operators with an unprecedented level of control and insight, moving from reactive troubleshooting to proactive, intelligent network management, ensuring higher uptime and a more reliable service for end-users while simultaneously streamlining the complex demands on technical staff and infrastructure resources.