RADCOM announced the launch of RADCOM Neura, an artificial intelligence (AI) agent suite designed for integration into agentic AI ecosystems, created to transform service assurance from reactive monitoring into a foundational enabler of autonomous, intent-driven networks.


RADCOM Neura utilizes real-time customer-focused data from RADCOM ACE, combined with a comprehensive suite of AI and machine learning tools, to power a team of specialized AI agents. 


These agents operate independently across network operations, service assurance, and customer care, helping operators improve efficiency, reduce operational overhead, and consistently deliver better subscriber experiences. Built with guardrails, RADCOM Neura ensures AI-driven actions remain explainable, governed, and aligned with operator-defined policies and regulatory requirements.


By seamlessly integrating with service management, Operations Support Systems (OSS), and Business Support Systems (BSS), RADCOM Neura creates a unified source of truth that links network performance to customer impact. RADCOM Neura automates case validation, service quality analysis, root-cause analytics, and customer experience improvements, enabling operators to increase first-call resolution, reduce ticket volume, accelerate resolution times, and improve customer satisfaction.


Telecom operators are evolving from raw data to insights, and from insights to intelligent, autonomous actions that improve customer experience and operational efficiency. RADCOM aims to enable this journey by providing unique, end-to-end visibility into every subscriber’s real-time experience, supported by a team of AI agents that assist with service validation, investigation, and remediation, and integrate seamlessly into agentic AI ecosystems.


All AI agents within RADCOM Neura support the Model Context Protocol (MCP) for standardized, secure data access and Agent-to-Agent (A2A) communication. This open, interoperable architecture enables seamless collaboration among AI agents, coordinated decision-making, and closed-loop automation across network operations. By supporting MCP and A2A, RADCOM Neura allows telecom operators to leverage existing AI and agentic AI infrastructure, data sources, and prior investments, while accelerating integration into operational environments and reducing the risk of vendor lock-in.


Autonomous AI Across the Network from RAN to Core


RADCOM Neura transforms real-time network data into autonomous intelligence that identifies service quality, user behavior, and performance issues throughout the entire network, from the Radio Access Network (RAN) to the core. Using model context and agent-to-agent collaboration protocols, RADCOM Neura’s AI agents automate service assurance, network operations, and customer support tasks, while seamlessly integrating with platforms such as ServiceNow and other service management tools to enhance workflows and accelerate outcomes.


This unified approach minimizes manual work for engineering and operations teams, shortens the average time to resolve issues, and ensures quicker, more precise responses to customer-impacting problems.


AI-Ready Data Infrastructure


An intelligent, automated network requires real-time visibility across all devices, network elements, and services. RADCOM’s AI-ready data infrastructure provides RADCOM Neura AI agents with accurate, correlated datasets and real-time per-user and per-application insights, enabling them to generate meaningful insights, support sound decision-making, and perform actions safely and efficiently.


One Suite, Many Expert AI Agents


RADCOM Neura is designed around a team of specialized AI agents, each dedicated to a specific domain to provide higher accuracy, faster insights, and improved operational results. Unlike single, general-purpose AI models, RADCOM Neura’s agents work in parallel, are easier to validate and manage, and can be scaled or upgraded independently. Multiple agents collaborate in real time, such as validating a customer complaint, assessing whether other subscribers are affected by the same issue, and automatically conducting root cause analysis to accelerate resolution and enhance outcomes.


RADCOM Neura’s AI agents are categorized into three main areas:


Customer Experience Agents Provide real-time visibility into each subscriber’s journey, validate complaints using live network data, identify dissatisfied users, and enable proactive, personalized customer care.


Service Quality Agents Automatically validate incidents, confirm impacted subscribers, eliminate false alarms, and speed up resolution to maintain service reliability and operational efficiency.


Network Optimization Agents Continuously analyze network performance, identify root causes and bottlenecks across the RAN and core, and recommend optimized actions to create a more efficient, self-optimizing network.


Through collaborative model context sharing, these agents build a comprehensive understanding of network behavior and customer impact, enabling explainable, reliable, and tailored AI for real-world telecom operations.


RADCOM NetTalkTM, An Intelligent Copilot for Assurance and Network Insights


RADCOM NetTalkTM, an intelligent copilot launched in January 2024, offers a natural language interface that integrates with RADCOM Neura to enable agent-driven insights and actions. It allows network teams to query data conversationally. By explaining, in real time, the automated decisions and actions of RADCOM Neura’s AI agents, NetTalkTM accelerates troubleshooting, enhances transparency, and builds operational trust. It also delivers instant, context-aware insights through simple voice or text interactions.


Benny Eppstein, RADCOM’s Chief Executive Officer


We are enriching agentic AI ecosystems that understand intent, operate independently, and directly connect network insights to customer outcomes, RADCOM Neura achieves this by combining reliable customer and application-level data with proactive AI agents, enabling operators to build truly customer-aware, self-improving networks.