RADCOM Launches Neura, an AI Agent Suite Designed for Integration into Agentic AI Ecosystems

Leveraging AI brokers and real-time buyer expertise insights to energy autonomous, clever networks

RADCOM Ltd. introduced the launch of  RADCOM Neura, a synthetic intelligence (AI) agent suite designed for integration into agentic AI ecosystems, created to rework service assurance from reactive monitoring right into a foundational enabler of autonomous, intent-driven networks.

RADCOM Neura makes use of real-time customer-focused information from RADCOM ACE, mixed with a complete suite of AI and machine studying instruments, to energy a workforce of specialised AI brokers. These brokers function independently throughout community operations, service assurance, and buyer care, serving to operators enhance effectivity, scale back operational overhead, and constantly ship higher subscriber experiences. Constructed with guardrails, RADCOM Neura ensures AI-driven actions stay explainable, ruled, and aligned with operator-defined insurance policies and regulatory necessities.

“We’re enriching agentic AI ecosystems that perceive intent, function independently, and immediately join community insights to buyer outcomes,” stated Benny Eppstein, RADCOM’s Chief Government Officer. “RADCOM Neura achieves this by combining dependable buyer and application-level information with proactive AI brokers, enabling operators to construct actually customer-aware, self-improving networks.”

By seamlessly integrating with service administration, Operations Help Techniques (OSS), and Enterprise Help Techniques (BSS), RADCOM Neura creates a unified supply of reality that hyperlinks community efficiency to buyer impression. RADCOM Neura automates case validation, service high quality evaluation, root-cause analytics, and buyer expertise enhancements, enabling operators to extend first-call decision, scale back ticket quantity, speed up decision instances, and enhance buyer satisfaction.

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Telecom operators are evolving from uncooked information to insights, and from insights to clever, autonomous actions that enhance buyer expertise and operational effectivity. RADCOM goals to allow this journey by offering distinctive, end-to-end visibility into each subscriber’s real-time expertise, supported by a workforce of AI brokers that help with service validation, investigation, and remediation, and combine seamlessly into agentic AI ecosystems.

All AI brokers inside RADCOM Neura help the Mannequin Context Protocol (MCP) for standardized, safe information entry and Agent-to-Agent (A2A) communication. This open, interoperable structure allows seamless collaboration amongst AI brokers, coordinated decision-making, and closed-loop automation throughout community operations. By supporting MCP and A2A, RADCOM Neura permits telecom operators to leverage present AI and agentic AI infrastructure, information sources, and prior investments, whereas accelerating integration into operational environments and decreasing the danger of vendor lock-in.

Autonomous AI Throughout the Community from RAN to Core

RADCOM Neura transforms real-time community information into autonomous intelligence that identifies service high quality, consumer habits, and efficiency points all through your entire community, from the Radio Entry Community (RAN) to the core. Utilizing mannequin context and agent-to-agent collaboration protocols, RADCOM Neura’s AI brokers automate service assurance, community operations, and buyer help duties, whereas seamlessly integrating with platforms similar to ServiceNow and different service administration instruments to reinforce workflows and speed up outcomes.

This unified strategy minimizes guide work for engineering and operations groups, shortens the common time to resolve points, and ensures faster, extra exact responses to customer-impacting issues.

AI-Prepared Information Infrastructure

An clever, automated community requires real-time visibility throughout all units, community components,  and providers. RADCOM’s AI-ready information infrastructure gives RADCOM Neura AI brokers with correct, correlated datasets and real-time per-user and per-application insights, enabling them to generate significant insights, help sound decision-making, and carry out actions safely and effectively.

One Suite, Many Skilled AI Brokers

RADCOM Neura is designed round a workforce of specialised AI brokers, every devoted to a particular area to supply greater accuracy, sooner insights, and improved operational outcomes. Not like single, general-purpose AI fashions, RADCOM Neura’s brokers work in parallel, are simpler to validate and handle, and may be scaled or upgraded independently. A number of brokers collaborate in actual time, similar to validating a buyer grievance, assessing whether or not different subscribers are affected by the identical subject, and routinely conducting root trigger evaluation to speed up decision and improve outcomes.

RADCOM Neura’s AI brokers are categorized into three essential areas:

Buyer Expertise Brokers
Present real-time visibility into every subscriber’s journey, validate complaints utilizing reside community information, establish dissatisfied customers, and allow proactive, personalised buyer care.

Service High quality Brokers
Mechanically validate incidents, affirm impacted subscribers, get rid of false alarms, and velocity up decision to keep up service reliability and operational effectivity.

Community Optimization Brokers
Repeatedly analyze community efficiency, establish root causes and bottlenecks throughout the RAN and core, and advocate optimized actions to create a extra environment friendly, self-optimizing community.

By means of collaborative mannequin context sharing, these brokers construct a complete understanding of community habits and buyer impression, enabling explainable, dependable, and tailor-made AI for real-world telecom operations.