FAIRFAX, Va., March 18, 2026 /PRNewswire/ -- today announced the launch of , a standalone Agentic AI platform designed to support day-to-day radio planning and engineering workflows. Developed as part of Aircom's Autonomous Networks vision, raNora introduces a governed, telco-trained multi-agent architecture that brings structured reasoning and execution into operational environments.
As radio networks grow in complexity, operational models remain heavily manual. Operators face mounting cost pressure, fragmented tooling, and ticket-driven processes that limit efficiency. raNora addresses this challenge by embedding AI directly into engineering runbooks—allowing specialized agents to execute repeatable tasks while humans supervise policy and edge cases.
Unlike generic AI assistants, raNora is purpose-built for RAN operations. Its architecture combines LLM-based reasoning engine that fuses network topology, configuration, performance and planning data. Aircom trained telco-AI agents are grounded in engineering guardrails with its multi-stage orchestrator ensuring repeatability and traceability.
raNora's release includes two high-impact agents:
said Khurram Chaudhry, VP Products & Engineering, Aircom.
raNora supports both hybrid and local deployment models, enabling operators to align AI adoption with security and regulatory compliance. Additional raNora AI agents are planned to be rolled out in the second half of 2026.
raNora is available for field trials. Write to us at or contact your local Aircom representative.
Aircom provides advanced RAN planning, optimization, and automation solutions to more than 125 customers across 100+ countries. A wholly owned subsidiary of TEOCO, Aircom combines decades of telecom domain expertise with intelligent analytics and AI-driven automation to support the evolution toward autonomous networks. Aircom's solutions help operators improve service quality, reduce operational complexity, and drive smarter network lifecycle management.
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