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September 17, 2024 – Kirkland, WA – Spectrum Effect® today announced that the United States Patent and Trademark Office (“USPTO”) has issued U.S. Patent No. 12096258 covering the company’s innovative use of Machine Learning models for classifying interference types within its Spectrum-NET platform.

Spectrum-NET is the industry’s leading platform for the automated analysis and mitigation of RF interference. The Spectrum-NET platform performs AI-driven analysis of RF interference with high accuracy across all RF bands and operates seamlessly across mobile networks. Operators rely on Spectrum-NET to ensure optimal mobile network performance and enhanced user Quality of Experience.

This core patent strengthens Spectrum Effect’s intellectual property portfolio, which now includes 33 issued patents, each covering critical aspects of the company’s Spectrum-NET platform.

“This patent award is a reflection of the highly innovative work we are doing at Spectrum Effect. This is a watershed moment for Spectrum Effect’s technology development,” said Eamonn Gormley, Chief Technology Officer at Spectrum Effect. “While this core patent establishes our foothold for our use of AI for RAN analysis and opens the door to apply our AI technologies to a broader range of RAN use cases, what is most important is that our operator customers are benefiting from these critical inventions.”

About Spectrum Effect

Spectrum Effect’s mission is to solve the most challenging and costly problems in the wireless industry through innovation and automation. With a passion for disruptive technologies and engineering excellence, Spectrum Effect has created Spectrum-NET, the industry’s leading solution for the automated ML-driven analysis and mitigation of RF interference. With Spectrum-NET, operators across the globe are rapidly addressing RF interference, improving network KPIs, surgically deploying their field assets, gaining insights into spectral efficiency, and saving significant OPEX and CAPEX. www.spectrumeffect.com.

 

CONTACT:

Cara Mormino for Spectrum Effect, cara@spectrumeffect.com