RADCOM Ltd. launches Neura AI agent suite

RADCOM Ltd. launched RADCOM Neura, an Artificial Intelligence (AI) agent suite intended for integration into agentic AI ecosystems and described as a means to move service assurance from reactive monitoring into a component for autonomous, intent-driven networks.

The company said the suite was meant to address operational concerns for telecom operators by improving efficiency, lowering operational overhead, and producing more consistent subscriber experiences; the release listed outcomes including higher first-call resolution, reduced ticket volume, faster resolution times, and improved customer satisfaction.

RADCOM Neura used real-time customer-focused data from RADCOM Anomaly Correlation Engine (ACE) together with AI and Machine Learning (ML) tools to run specialized agents; the company said the suite included guardrails to keep AI-driven actions explainable, governed, and aligned with operator policies and regulatory requirements. The release stated the platform supplied per-user and per-application real-time insights across the Radio Access Network (RAN) to the core.

The release described integrations with service management, Operations Support Systems (OSS), and Business Support Systems (BSS), and noted compatibility with platforms such as ServiceNow for workflow support. RADCOM also described an AI-ready data infrastructure and said NetTalk, launched in January 2024, integrated with Neura to provide a natural language interface; the company said it would showcase RADCOM Neura at Mobile World Congress in Barcelona from March 2-5.

“We are enriching agentic AI ecosystems that understand intent, operate independently, and directly connect network insights to customer outcomes,” said Benny Eppstein, RADCOM's Chief Executive Officer. “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.”

The release included forward-looking statements and said such statements involved risks and uncertainties that could cause actual results, performance, or achievements to differ materially from those expressed or implied.