We at CNS believe that wireless infrastructure shouldn’t just be configurable — it should be as trainable as a neural network. We are pioneering the Radio Access Neural Network (RA-NN), a new kind of network intelligence that learns, adapts, and improves itself in real time.
Our mission is to transform the foundation of wireless systems — replacing static optimization with learning-based control — so networks everywhere can evolve with demand, environment, and expectation.
Meet The Team
Terence Li
Co-founder & CEO
Terence is a seasoned expert in telecommunications technology with a specialty in radio network management. Over his two decades at a Tier 1 mobile network operator, he has led teams responsible for multiple patents in 4G and 5G optimization. His career has spanned the full evolution from GSM to 5G, giving him unparalleled insight into the essential characteristics of high-performance networks and a critical role in advancing cutting-edge network optimization strategies.
Michael Chiaramonte
C0-founder & CTO
Michael is an AI/ML engineering expert with a specialization in RAN optimization through deep learning neural networks. While working for a top U.S. wireless carrier, he spearheaded numerous internal projects focused on automating network operations with AI and machine learning. Michael has conceptualized, designed and validated the patent pending GraphRAN approach by integrating practical telecom insights with cutting-edge AI methodologies to create a framework uniquely suited for modern network intelligence.
Let’s start a conversation.
Whether you're a partner, investor, or just curious — we’d love to connect.
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