RADCOM Neura: Agentic AI for Autonomous Networks
From service assurance monitoring to autonomous, intent-based customer experience enhancements
What Is RADCOM Neura?
RADCOM Neura is RADCOM’s autonomous AI agent suite, purpose-built for telecom operators moving from human-assisted operations to fully automated, machine-to-machine network operations. Unlike traditional AI assistants that support engineers, RADCOM Neura enables multiple AI agents to collaborate independently. This includes analyzing network data, validating subscriber experience, performing root cause analysis, and initiating resolution workflows with minimal human intervention. Built on an open, standardized architecture that avoids vendor lock-in, Neura integrates seamlessly into operator ecosystems through model context protocol (MCP), enabling external platforms, partner systems, and operator-owned LLMs to access RADCOM’s deep network intelligence in a standardized way.
Autonomous AI that comprehends your network from the
RAN to the core
Key Advantages
Autonomous end-to-end intelligent analysis:
A purpose-built agent pipeline including orchestrator, anomaly investigator, context builder, network knowledge, trace agent, parallel RCA agents, and RCA aggregator. These all work together to detect, investigate, and resolve network issues with full visibility into inputs, evidence, and outcomes at every stage
Parallel processing at scale:
Neura executes multiple workflows simultaneously, including tracing multiple impacted subscribers in parallel, enabling investigation speeds far beyond what any human team could manage sequentially.
Flexible, cost-efficient deployment:
Supports on-premises LLM deployment for data privacy alongside hybrid public-model access, while leveraging RADCOM’s lightweight LiTeX-based architecture to reduce infrastructure footprint and operational cost.
Intelligent on-demand probing:
When deeper analysis is required, Neura automatically triggers packet-level on-demand probing, identifying the relevant protocols and trace points without human involvement.
Knowledge graph-driven context awareness:
Agents query a structured knowledge graph to incorporate contextual factors, such as planned maintenance, topology dependencies, and known infrastructure issues, before escalating investigations.
Seamless ecosystem integration:
Integrates with operator environments including BSS and OSS, service management systems and third-party vendors as well as operator-owned LLMs through standardized open A2A/MCP-based connectivity.
Built-in governance and trust:
Policy enforcement, interaction logging, and oversight agents help protect sensitive subscriber data, ensure operator data is never used for LLM training, and maintain full auditability of autonomous actions.
What Sets NEURA Apart?
RADCOM offers the ability to orchestrate a fully automated diagnostic workflow, from the moment an anomaly surfaces through to a structured incident report with root cause, contributing factors, and recommended actions. And all this without a human in the loop. Designed with operator trust at its core, NEURA ensures that as automation increases, so does visibility and control, giving operators the confidence to let AI act while knowing every decision remains governed, logged, and explainable.
RADCOM NEURA delivers two complementary capabilities:
Automates workflows natively within RADCOM ACE
Integrates seamlessly into operator ecosystems
Reduced Time to Resolution
“Partnerships succeed best when we lean into our unique skills and expertise and have a clear view into the problem we’re trying to solve. RADCOM’s integration with ServiceNow will help our customers create best-in-class subscriber experiences while reducing network engineering time and effort. I am thrilled to see the continued innovation we will achieve together to help organizations succeed in the era of digital business.”
Erica Volini
Executive Vice President, Worldwide Industries, Partners, and Go-to-Market at ServiceNow.
RADCOM NetTalkTM. Your AI Copilot for Network Insights and Assurance
RADCOM NetTalk™ is an intelligent copilot that offers instant, context-aware insights through simple voice or text commands. It helps users explore RADCOM products, understand 3GPP standards, analyze ACE data, and interact smoothly with RADCOM Neura to quickly access intelligent, agent-driven features.
- Provides instant, context-aware insights on RADCOM products, 3GPP standards, and ACE data
- Allows users to interact through simple voice or text prompts
- Connects directly to RADCOM Neura, enabling access to agentic AI insights and outputs
- Helps users understand automated actions taken by Neura agents in real time
- Supports faster troubleshooting with guided explanations and data-driven recommendations
Leverage an AI team to drive efficiency, optimize performance, and transform your network
Specialized RADCOM Neura AI Agents
RADCOM Neura employs a team of specialized AI agents, each dedicated to a specific task to achieve higher accuracy, faster insights, and improved operational results. By focusing on areas such as case validation, root cause analysis, anomaly detection, and impacted subscriber analysis, these agents offer deeper expertise than a single generalist agent. They operate simultaneously for faster detection and resolution, are easier to validate and manage, and can be scaled or upgraded independently. Through MCP collaboration, they share insights to develop a more comprehensive understanding of network performance and customer experience, making Neura efficient, reliable, and tailored for real-world telecom operations.
To explore how our AI-powered service assurance transforms network operations, read about our AI-powered Service Assurance.
RADCOM Neura AI agents are divided into four main areas of expertise:
Customer Experience Agents
Offer real-time visibility into each subscriber’s journey. Identify dissatisfied users, validate complaints with actual network data, and flag issues early to create a more proactive and personalized customer experience.
Service Quality Agents
Ensure data-driven accuracy from detection to resolution. Automatically validate incidents, confirm affected subscribers, and eliminate false alarms to speed up MTTR and maintain service reliability.
Network Optimization Agents
Continuously improve network performance using AI-driven analytics. Identify root causes, detect bottlenecks in the RAN and core, and recommend optimized actions for a more efficient, self-optimizing network.
AIOps AI Agents
Automate network operations with intelligent, real-time analysis and closed-loop action. Accelerate root causes determination, resolution, remediation and keep network running at peak performance.
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FAQ
What role do RADCOM ACE and RADCOM AIM play in the solution?
RADCOM ACE provides end-to-end visibility and contextualized network data, while RADCOM AIM delivers advanced AI and machine learning analytics to detect anomalies, trends, and patterns. Together, they form the foundation of the agentic AI framework, ensuring that actions and recommendations are based on trusted, high-quality insights.
How does the agentic AI framework integrate with existing systems?
RADCOM’s agentic AI is built with open APIs and supports MCP (Model Context Protocol) for interoperability. It integrates with OSS, BSS, ITSM, and other operational systems, enabling automated actions and insights to flow across your existing ecosystem without disruption.
Is the system fully autonomous or does it include human oversight?
The solution is built for human-in-the-loop operations. While agents can act independently within established boundaries, operators maintain full control through policy management, approval workflows, and audit trails to ensure safe, transparent automation.
Can agentic AI be deployed in any environment?
Yes. The solution is cloud-native and containerized, supporting deployment to public, private, or on-premises environments. It scales flexibly based on your network size, use cases, and data processing needs.
How secure is the agentic AI framework?
Security and data privacy are integrated. The framework adheres to data minimization principles, enforces strict access controls, and supports compliance with global data protection laws. All agent interactions are logged and auditable to ensure transparency.
What measurable benefits can operators expect?
Operators utilizing RADCOM’s agentic AI can accomplish:
- Up to 70% reduction in total cost of ownership (TCO)
- 50% faster incident resolution times
- Over 90% data efficiency while maintaining full network visibility
- Improved customer satisfaction and NPS through proactive service management
What is RADCOM’s agentic AI solution?
RADCOM’s agentic AI solution is an intelligent automation framework that uses multiple AI agents to transform network data into real-time insights and actions. These autonomous agents continuously learn, adapt, and collaborate to optimize performance, streamline operations, and enhance customer experience across the entire network, from the RAN to the core.
How does agentic AI differ from traditional AI or AIOps solutions?
Unlike traditional AI or AIOps tools that rely on static algorithms or rule-based automation, RADCOM’s agentic AI uses a network of collaborative, self-learning agents that reason, plan, and act autonomously. Each agent focuses on specific tasks, such as service quality, incident resolution, or experience analysis, while sharing context to drive intelligent, closed-loop automation.
