WAN-AI

WAN-AI provides AI-powered traffic management for cloud-native networks, automating the granular allocation of bandwidth and other network resources. Its platform ensures predefined performance targets are met in real-time and supports on-demand resource scaling for optimal efficiency.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Cloud-native networks face challenges in dynamically allocating network resources like bandwidth to meet fluctuating performance demands. This can lead to suboptimal performance and inefficient resource utilization.

Solution

WAN-AI offers a real-time, AI-powered traffic management solution designed for cloud-native network environments. The platform automates the granular allocation of network resources, such as bandwidth, to ensure that predefined performance targets are consistently met. By leveraging AI and machine learning, WAN-AI optimizes network operations and supports on-demand scaling of resources. This intelligent automation not only enhances network performance but also contributes to energy savings by scaling resources down during periods of low demand without impacting service quality.

Target Audience

The primary customers are enterprises and organizations operating cloud-native networks that require sophisticated, automated traffic management to ensure optimal performance and resource efficiency.

Features

Real-time AI-driven traffic management for cloud-native networks.
Automated, granular allocation of network resources, including bandwidth.
Machine learning models for network optimization and predictive resource management.
Concurrent Event Processing (CEP) engine for high-speed computation of network state information.
On-demand resource scaling capabilities to align with traffic demands.
Generation of Network State Information (NSI) for real-time network monitoring.