Net AI provides an AI-powered platform that analyzes mobile network traffic in real-time, identifying and categorizing data streams to their source. This allows mobile network operators to optimize virtualized networks, improve resource allocation, and effectively monetize network slices.
Funding
$1M 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 face challenges in optimizing virtualized networks, managing resource allocation, and monetizing network slices due to a lack of real-time visibility into network traffic composition. Inefficient resource utilization leads to increased operational costs and hinders the ability to deliver consistent quality of service.
Solution
Net AI offers an AI-powered platform that provides real-time analysis of mobile network traffic, enabling operators to identify and categorize data streams to their source. By leveraging AI-driven forecasting and anomaly prediction, the platform optimizes network resource allocation, reduces energy consumption, and improves service quality. The solution decomposes aggregate traffic volumes into individual services, providing granular insights into application demands and user experience. This allows operators to proactively resolve incidents, streamline network management, and make informed decisions regarding network investment and service offerings.
Target Audience
The primary target audience includes mobile network operators (MNOs) seeking to optimize network performance, reduce operational costs, and improve service quality through AI-driven insights and automation.
Features
- AI-driven network energy efficiency (EnergAIze) that controls radio and computing resources based on predicted traffic demands, achieving up to 50% energy savings.
- AI-assisted forecasting (ForesAIght) that predicts the evolution of multiple KPIs across network deployments with configurable time horizons and granularities.
- AI-driven operational anomaly prediction (IdentifAI) that identifies unusual patterns across network performance indicators to streamline network management.
- Quality of experience prediction (DeepQoE) that provides accurate predictions of user QoE to optimize capacity allocation and trigger handovers.
- Mobile network traffic decomposition (Microscope) that disentangles aggregate traffic volumes into individual services for accurate understanding of application demands.
- O-RAN-compliant traffic forecasting and resource autoscaling (xUPscaler) that enables telcos to allocate resources to guarantee SLAs while reducing operational costs.
- AI-Driven business Analytics (AIDA) platform that helps understand service-level deviations, shape service offerings, and underpin targeted marketing.