RADCOM Ltd. has officially introduced RADCOM Neura, an advanced AI agent suite engineered for seamless integration into agentic AI ecosystems. With this launch, RADCOM aims to transform service assurance from traditional reactive monitoring into a proactive foundation for autonomous, intent-driven telecom networks.
As telecom operators increasingly shift toward intelligent automation, they require more than isolated AI tools. Therefore, RADCOM Neura combines real-time, customer-centric data from RADCOM ACE with a comprehensive set of AI and machine learning capabilities. Together, these technologies power a coordinated team of specialized AI agents that operate independently across network operations, service assurance, and customer care.
From Reactive Monitoring to Autonomous Intelligence
Unlike legacy systems that react after issues arise, RADCOM Neura enables proactive decision-making. The suite links network performance directly to customer impact by integrating seamlessly with service management platforms, Operations Support Systems (OSS), and Business Support Systems (BSS). As a result, operators gain a unified, real-time source of truth across their operations.
Furthermore, RADCOM Neura automates critical processes such as case validation, service quality analysis, root-cause detection, and customer experience improvements. Consequently, telecom providers can boost first-call resolution rates, reduce ticket volumes, accelerate troubleshooting, and enhance overall subscriber satisfaction.
Benny Eppstein, Chief Executive Officer of RADCOM, explained the strategic vision:
"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."
Open Architecture for Seamless Integration
To ensure flexibility and scalability, all AI agents within RADCOM Neura support the Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication standards. This open, interoperable framework enables secure data access, coordinated decision-making, and closed-loop automation across network environments. Additionally, operators can leverage their existing AI infrastructure and investments without the risk of vendor lock-in.
RADCOM Neura also integrates with platforms such as ServiceNow and other service management tools. By automating workflows and reducing manual intervention, the suite shortens resolution times and improves operational efficiency across engineering and support teams.
Autonomous AI from RAN to Core
Importantly, RADCOM Neura spans the entire telecom network—from the Radio Access Network (RAN) to the core. By converting real-time network data into actionable intelligence, the AI agents identify service quality issues, detect user behavior patterns, and address performance bottlenecks. This end-to-end visibility enables faster, more precise responses to customer-impacting incidents.
Moreover, RADCOM’s AI-ready data infrastructure ensures that agents receive accurate, correlated datasets and real-time per-user insights. Consequently, the system generates explainable recommendations while maintaining governance, compliance, and operator-defined policies.
Specialized Agents for Greater Accuracy
Rather than relying on a single, general-purpose AI model, RADCOM Neura deploys multiple domain-specific AI agents working in parallel. These agents focus on three primary categories:
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Customer Experience Agents: Monitor subscriber journeys, validate complaints, and enable proactive customer engagement.
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Service Quality Agents: Confirm impacted users, eliminate false alarms, and accelerate issue resolution.
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Network Optimization Agents: Analyze performance across RAN and core networks, identify root causes, and recommend optimization strategies.
Through collaborative model context sharing, these agents build a comprehensive view of network behavior and customer impact. Ultimately, this structured, multi-agent approach ensures explainable AI outcomes while delivering faster insights and measurable operational improvements.
With RADCOM Neura, telecom operators move beyond reactive troubleshooting toward fully autonomous, self-optimizing networks built for next-generation connectivity.
To join our expert panel discussions, reach out to info@intentamplify.com
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