Visban develops V-Mesh™, an RF-on-glass technology integrated with AI to deliver high-speed, uninterrupted millimeter wave connectivity. This solution addresses coverage gaps and deployment costs associated with next-generation wireless networks. The technology enables reliable millimeter wave signal distribution for applications like autonomous vehicles and high-definition VR.
Funding
$2.7M 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
Current 5G infrastructure struggles to meet the demands of emerging applications like AI, AR, and VR, suffering from coverage gaps and high deployment costs, especially for millimeter wave networks. These limitations hinder the potential of smart cities, autonomous vehicles, and remote healthcare.
Solution
Visban's V-Mesh™ technology utilizes RF-on-glass integration and AI to create reliable, high-speed millimeter wave connectivity with minimal dead spots. This approach efficiently and economically distributes millimeter wave signals, enhancing network reliability and reducing deployment costs for both terrestrial and satellite-based networks. By overcoming the inherent challenges of millimeter wave networks, V-Mesh enables the seamless operation of demanding applications requiring ultra-fast speeds and low latency. The technology ensures continuous connectivity, paving the way for advancements in various sectors.
Target Audience
The primary customers are telecommunications companies, network operators, and enterprises deploying advanced wireless networks for applications requiring high bandwidth and low latency.
Features
- RF-on-glass integration for efficient millimeter wave signal distribution
- AI-powered network optimization to minimize dead spots and enhance reliability
- Cost-effective deployment for both terrestrial and satellite-based networks
- High-speed connectivity to support demanding applications like AI, AR, and VR