Meet raNora, Our Agentic AI for Day-to-Day Radio Planning

Radio networks are getting harder to run, yet budgets and teams aren’t scaling with the complexity. Operators everywhere are feeling the squeeze: mounting cost pressure with flat revenues, more vendors and technologies to manage, and operational scale that’s outpacing what humans can do manually. At the same time, manual processes and fragmented tools slow teams down, and 5G monetization remains a stretch.

That’s the backdrop for raNora: Aircom’s new agentic AI platform designed to assist engineers with day-to-day radio planning activities, while providing a foundation that expands into broader optimization and autonomous operations over time. raNora is built to learn and improve as you use it—bringing AI into the workflow where planning engineers already live, not forcing teams to adopt yet another disconnected analytics tool.

Why agentic AI, and why now?

Transforming operations isn’t just about adding dashboards or running another model. To reach true autonomy, operators need a practical path that combines:

• An autonomy roadmap (targeting high-OPEX domains first),
• A cross-vendor data fabric to normalize data for AI,
• Embedded AI agents that can reason and act inside operational workflows,
• Open APIs and modular integration,
• And a move from tickets/CLI to AI-assisted runbooks where humans handle edge cases and agents do the repeatable work.

But real-world obstacles remain: fragmented brownfield data, cultural trust barriers, and concerns around AI reliability and cost. raNora is built to address these challenges with a governed, telco-trained approach.

What raNora is (and what makes it different)

raNora sits inside Aircom’s Autonomous Networks vision—an end-to-end platform aiming for high levels of autonomy through its core pillars:

Aircom Reasoning Engine

LLM-based reasoning that fuses topology, OSS counters, and planning rules.

Telco-Trained AI Agents

Grounded in RAN playbooks and engineering guardrails.

Multi-Stage Orchestrator

Governed workflows with repeatability and traceability.

In short: raNora isn’t “a chatbot for telecom.” It’s an engineering companion with domain grounding, workflow governance, and a tool-using architecture designed for real operations.

What you can expect from the first release

raNora launches with practical agents focused on the work that consumes planning and engineering time—starting with database and coverage workflows (more on those next week). It’s the beginning of a rollout that expands capabilities through additional specialized agents.

Want to see raNora on your data and processes? Contact Aircom for a demo and field-trial discussion at contact.ran@teoco.com