December 15, 2022 – KIRKLAND, WA — Spectrum Effect® announced today the introduction of a new Object Detection ML Model in Spectrum-NET for handling the most challenging RF interference environments. With the object detection ML model, Spectrum-NET is now able to separate, characterize and classify each of multiple RF interference sources that are simultaneously affecting the same channel.

Spectrum-NET is the industry’s leading solution for the automated ML-driven analysis of RF interference, enabling operators to rapidly and effectively mitigate sources of RF interference.

“Mobile operator networks in urban environments in some geographies suffer from high amounts of severe RF interference coming from multiple sources, especially in 3GPP frequency bands 3, 5, 8 and 28,” commented Spectrum Effect Chief Technology Officer, Eamonn Gormley. “Our new Object Detection ML Model provides clear guidance to our operator customers on how to resolve each of these sources even in the harshest environments.”

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 R&D located in Kirkland, Washington, USA, and San Pedro Garza Garcia, Mexico, the Spectrum Effect team is passionate about creating disruptive technologies, engineering excellence, and enhancing the experience of mobile operators. Spectrum Effect has created Spectrum-NET, the industry’s leading solution for the automated analysis of RF interference. Protected by 30 issued patents, Spectrum-NET performs machine learning-driven analysis of RF interference across all RF bands and operates seamlessly across multi-vendor 5G NR, LTE and UMTS cells within mobile networks continually. 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
+1 847 243 3000
cara@spectrumeffect.com

December 12, 2022 – KIRKLAND, WA — Spectrum Effect® announced today a major breakthrough with Spectrum-NET’s convolutional neural network (CNN) models. The Spectrum-NET RF interference classification CNN Models now fully support RAN equipment operating in energy savings mode by seamlessly responding to network adjustments during sleep mode.

Spectrum-NET is the industry’s leading solution for the automated ML-driven analysis of RF interference, enabling mobile operators to rapidly and effectively mitigate sources of RF interference.

“Operating networks in a responsible, energy efficient manner is of paramount importance to us and our customers,” commented Spectrum Effect Director of Product Management, Jina Choi. “We take great pride that our Spectrum-NET solution has built-in intelligence to handle the nuances of RAN energy savings.”

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 R&D located in Kirkland, Washington, USA, and San Pedro Garza Garcia, Mexico, the Spectrum Effect team is passionate about creating disruptive technologies, engineering excellence, and enhancing the experience of mobile operators. Spectrum Effect has created Spectrum-NET, the industry’s leading solution for the automated analysis of RF interference. Protected by 30 issued patents, Spectrum-NET performs machine learning-driven analysis of RF interference across all RF bands and operates seamlessly across multi-vendor 5G NR, LTE and UMTS cells within mobile networks continually. 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
+1 847 243 3000
cara@spectrumeffect.com

November 1, 2022 – KIRKLAND, WA — After much consideration, the Red Herring judging panel has announced its Top 100 Global Winners today,recognizing the leading private companies from North America, Europe, and Asia, celebrating these startups’ innovations and technologies across their respective industries.

Red Herring’s Top 100 Global list has become a mark of distinction for identifying promising companies and outstanding entrepreneurs. Red Herring editors were among the first to recognize that companies such as Facebook, Twitter, Google, Yahoo, Skype, Salesforce.com, YouTube, and eBay would change the way we live and work. Thousands of the most interesting and innovative companies have graced the Top 100 list over the years.

“Choosing the companies with the strongest potential was by no means a small feat this year” said Alex Vieux, publisher and CEO of Red Herring. “After rigorous contemplation and discussion, we narrowed our list down from hundreds of candidates from across the globe to the Top 100 Winners. We believe Spectrum Effect embodies the vision, drive and innovation that define a successful entrepreneurial venture. Spectrum Effect should be proud of its accomplishment as the competition was very strong.”

“Operators are facing continued pressure to streamline their operations and improve the end-user experience in the face of increasing network complexity, all while offering enhanced new services,” commented Spectrum Effect CEO, Charles Immendorf. “Spectrum Effect’s AI-driven spectrum analytics and mitigation solution, Spectrum-NET, empowers mobile operators to directly and proactively address these critical challenges, yielding significant performance and economic gains. Being recognized as a top 100 industry leader by Red Herring is an incredible honor that validates our efforts.”

Red Herring’s editorial staff evaluated the companies on both quantitative and qualitative criteria, such as financial performance, technology innovation, management quality, strategy, and market penetration. This assessment of potential is complemented by a review of the track records and standing of startups relative to their peers, allowing Red Herring to see past the “hype” and make the list a valuable instrument of discovery and advocacy for the most promising new business models from around the world. Red Herring is dedicated to following Spectrum Effect’s path to further success and innovation.

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 R&D located in Kirkland, Washington, USA, and San Pedro Garza Garcia, Mexico, the Spectrum Effect team is passionate about creating disruptive technologies, engineering excellence, and enhancing the experience of mobile operators. Spectrum Effect has created Spectrum-NET, the industry’s leading solution for the automated analysis of RF interference. Protected by 28 issued patents, Spectrum-NET performs machine learning-driven analysis of RF interference across all RF bands and operates seamlessly across multi-vendor 5G NR, LTE and UMTS cells within mobile networks continually. 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
+1 847 243 3000
cara@spectrumeffect.com

Spectrum-NET is the Industry’s First to Drive the Resolution of Uplink RGI via Network Optimizations

June 29, 2022 – KIRKLAND, WA — Spectrum Effect® announced today the introduction of its new Spectrum-NET RGI Module, the industry’s first solution capable of distinguishing RAN Generated Interference from other sources of uplink interference through the analysis of performance data.

RAN Generated Interference (RGI) is caused by overshooting cells, insufficient separation between antennas, imbalanced traffic load among layers, or misconfigured parameters. Operators had been blind to uplink RGI, which accounts for more than 25% of the uplink RF interference affecting mobile networks globally. RGI is on the rise with increasing traffic load.

Spectrum-NET is the industry’s leading solution for the automated AI-driven analysis of RF interference, enabling operators to rapidly and effectively mitigate sources of RF interference.

“With our new Spectrum-NET RGI Module, operators are now equipped to immediately differentiate RGI from other types of uplink RF interference with high accuracy,“ commented Spectrum Effect CTO, Eamonn Gormley. “Our root cause analysis then pinpoints the sources of RGI, guiding operators with the targeted actions to quickly resolve RGI and improve network performance.”

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 R&D located in Kirkland, Washington, USA, and San Pedro Garza Garcia, Mexico, the Spectrum Effect team is passionate about creating disruptive technologies, engineering excellence, and enhancing the experience of mobile operators. Spectrum Effect has created Spectrum-NET, the industry’s leading solution for the automated analysis of RF interference. Protected by 28 issued patents, Spectrum-NET performs machine learning-driven analysis of RF interference across all RF bands and operates seamlessly across multi-vendor 5G NR, LTE and UMTS cells within mobile networks continually. 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
+1 847 243 3000
cara@spectrumeffect.com

Over 5 Million Hours of RF Interference Data Enables Instant, Actionable Insights

May 23, 2022 – KIRKLAND, WA — Spectrum Effect® announced today that Spectrum-NET® has collected and labeled more than 200,000 samples of observed RF interference data from mobile operator networks around the world.

Spectrum-NET is the industry’s leading solution for the automated AI-driven analysis of RF interference, enabling operators to rapidly and effectively mitigate sources of RF interference.

The Spectrum Effect team works collaboratively with mobile operators to ensure their RF interference reduction and KPI improvement objectives are realized. With this close cooperation, Spectrum Effect has established a valuable pipeline of RF interference data from operator networks.

“The single largest obstacle for generating meaningful insights from network performance data with machine learning models is collecting a dataset large enough to deliver highly accurate classifications,“ commented Spectrum Effect CTO, Eamonn Gormley. “We have been successful in capturing vast quantities of labeled RF interference signatures that are used to train Spectrum-NET’s convolutional neural network (CNN) models.”

“Operators are hitting the ground running and immediately benefiting from Spectrum-NET’s automated CNN-driven classification,” remarked Spectrum Effect Director of Product Management, Jina Choi. “Our CNN models are continuously updated and refined with additional labeled data samples, which keeps operators better informed about their networks and helps them make faster, data-driven decisions.”

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 R&D located in Kirkland, Washington, USA, and Monterrey, Mexico, the Spectrum Effect team is passionate about creating disruptive technologies, engineering excellence, and enhancing the experience of mobile operators. Spectrum Effect has created Spectrum-NET, the industry’s leading solution for the automated analysis of RF interference. Protected by 27 issued patents, Spectrum-NET performs machine learning-driven analysis of RF interference across all RF bands and operates seamlessly across multi-vendor 5G NR, LTE and UMTS cells within mobile networks continually. 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
+1 847 243 3000
cara@spectrumeffect.com