The startup develops radio access network software that utilizes machine learning algorithms to enhance wireless network performance and energy efficiency. By predicting and optimizing network metrics, the solution improves coverage and capacity while significantly lowering energy consumption for operators.
Funding
$32.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Mobile network operators (MNOs) face increasing challenges in balancing network performance, sustainability, and economic efficiency due to the rising complexity of 5G networks and exponential growth in data traffic. Existing Radio Access Networks (RANs) struggle with slow innovation, non-transferable automation scripts, and high costs associated with monolithic vendor approaches.
Solution
Aira Technologies provides AI-powered solution suites that modernize the RAN, enabling mobile network operators to achieve operational, energy, and spectral efficiency goals. The company's flagship product, Naavik, is an intent-based GenAI platform that allows network engineers to observe, analyze, and automate networks using natural language queries. Aira's solutions facilitate rapid experimentation, improve service quality, optimize network performance, and enable zero-touch provisioning, reducing complex processes from months to days. The Energy Management Suite uses AI to optimize MIMO state configuration and transmit power control, improving energy efficiency by approximately 25%. The Beam Management Suite leverages AI to improve channel estimation and prediction, calculate beam weight accurately, and improve scheduling, doubling spectral efficiency.
Target Audience
The primary target audience includes mobile network operators (MNOs) seeking to modernize their RAN infrastructure, improve network performance, reduce operational costs, and achieve greater energy and spectral efficiency.
Features
- Naavik: Intent-based GenAI platform for RAN observability, analysis, control, and automation
- RANGPT: GenAI-based utility for querying, controlling, and automating the RAN using conversational language
- Energy Management Suite: AI-driven optimization of MIMO state configuration, transmit power control, and radio state management for 25% energy efficiency improvement
- Beam Management Suite: AI-powered channel estimation, prediction, beam weight calculation, and scheduling for 2X spectral efficiency
- Zero-touch provisioning for rapid network setup in under 15 minutes
- Compatibility with VMware Service Management and Orchestration (SMO) framework via the R1 interface to the non-RT RAN Intelligent Controller (RIC)
- Secure, cloud-hosted platform with proprietary LLM residing in a private cloud for full control of MNO data
- Ability to generate software code for new xApps and rApps