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Aircom Unveils raNora: A New Era of Agent-Based AI in Network Management

Aircom is at the forefront of telecommunications innovation with the recent launch of raNora, its new self-contained platform utilizing agent-based AI. This groundbreaking technology is specifically designed to enhance daily workflows in radio network planning and engineering, effectively bridging the gap between manual operations and network autonomy.

Addressing Complex Challenges

As radio networks continue to grow in complexity, traditional operational models reliant on manual input become increasingly untenable. Network operators face heightened cost pressures while grappling with fragmented tools and ticket-driven processes that hinder overall efficiency. In response, raNora seamlessly integrates AI into technical runbooks, empowering specialized agents to undertake repetitive tasks while human experts manage policies and exceptional cases.

What sets raNora apart from generic AI assistants is its targeted focus on Radio Access Network (RAN) operations. The platform boasts a multi-agent architecture that leverages a large language model (LLM) inference engine. This unique combination synthesizes network topology, configuration data, performance metrics, and planning inputs, offering network operators a sophisticated tool to streamline their operations.

Key Features of raNora

The introduction of raNora features two advanced agents:

1. Database Agent: This agent assists in querying network data, conducting compliance audits, performing deviation analyses, and suggesting corrective actions. It provides invaluable insights that are crucial for maintaining network integrity and compliance.
2. Coverage Agent: This agent is essential for conducting coverage analysis, generating statistical reports, creating interactive maps, and automated site planning recommendations. It provides operators with actionable intelligence that enhances decision-making and site optimization.

Khurram Chaudhry, Head of Products and Engineering at Aircom, emphasized the importance of controlled workflows in the transition to autonomous networks. He noted, "raNora represents a significant leap forward in integrating agent-based AI into the daily operations of radio network planning, helping operators reduce manual effort, increase engineering productivity, and establish trust in AI-driven execution."

Flexible Deployment Options

RaNora supports both hybrid and on-premises deployment models, allowing network operators to align AI implementation with their security and compliance requirements. This flexibility means that companies can adopt AI solutions at their own pace while ensuring they meet critical regulatory standards. Aircom also plans to roll out additional AI agents for raNora in the latter half of 2026.

As a platform available for field trials, interested parties can reach out to Aircom for more information by emailing [email protected] or contacting their local Aircom representative.

About Aircom

With a client base of over 125 customers across more than 100 countries, Aircom provides advanced solutions for RAN planning, optimization, and automation. As a wholly-owned subsidiary of TEOCO, Aircom combines decades of telecommunications expertise with intelligent analytics and AI-driven automation to support the evolution towards autonomous networks. Their solutions are designed not only to improve service quality but to reduce operational complexity, fostering smarter network lifecycle management.

For more details, visit Aircom's website today.