Founded Year

2016

Stage

Series A | Alive

Total Raised

$6.5M

Last Raised

$5M | 2 yrs ago

Mosaic Score

+180 points in the past 30 days

What is a Mosaic Score?
The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.

About DeepSig

DeepSig incorporates the application of Deep Learning to signal processing and radio systems. By creating new tools, algorithms, and approaches for signal processing systems, DeepSig aims to achieve improved results in system performance.

DeepSig Headquarter Location

1201 Wilson Blvd, Floor 27

Arlington, Virginia, 22209,

United States

703-340-1451

DeepSig's Product Videos

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Expert Collections containing DeepSig

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

DeepSig is included in 2 Expert Collections, including Artificial Intelligence.

A

Artificial Intelligence

8,694 items

This collection includes startups selling AI SaaS, using AI algorithms to develop their core products, and those developing hardware to support AI workloads.

A

AI 100

300 items

The winners of the 4th annual CB Insights AI 100.

DeepSig Patents

DeepSig has filed 17 patents.

The 3 most popular patent topics include:

  • Rotating disc computer storage media
  • Radio electronics
  • Telecommunication theory
patents chart

Application Date

Grant Date

Title

Related Topics

Status

11/7/2019

3/22/2022

Wireless networking, Radio frequency propagation, Telecommunication theory, Network protocols, Information theory

Grant

Application Date

11/7/2019

Grant Date

3/22/2022

Title

Related Topics

Wireless networking, Radio frequency propagation, Telecommunication theory, Network protocols, Information theory

Status

Grant

Latest DeepSig News

DeepSig Publishes Milestone Report on AI/ML Improved 5G Open vRAN

May 16, 2022

May 16, 2022 08:00 AM Eastern Daylight Time ARLINGTON, Va.--( BUSINESS WIRE )-- DeepSig —experts in artificial intelligence (AI) and machine learning (ML) for wireless communications—today published “Amplifying 5G vRAN Performance with AI & Deep Learning.” Co-authored with a leading industry partner, this white paper explores how mobile operators can leverage AI and ML to amplify critical air interface performance metrics and value while deploying open virtualized radio access network (Open vRAN) architectures. Open vRAN’s standard interfaces between primary network elements allow public and private network operators to select distinct, best-in-class products and enable breakthrough technologies to improve network performance and lower costs. The new white paper explains how machine learning can be used to perform 5G radio baseband functions in an AI-Native method, which learns from radio data and the local radio environment and produces a more efficient and performant “neural receiver.” The paper goes on to explain key outcomes of AI/ML in the physical layer including: Maximizing link capacity, coverage, and performance in Multiple-Input Multiple-Output (MIMO) radio systems. Minimizing OpEx, CapEx, and latency through improved processing efficiency by reducing core count, power consumption and processing time in the L1. The white paper describes how AI and ML improve Open vRAN stack software to improve automation, enhance performance, and more. DeepSig's OmniPHY 5G AI software combines Deep Learning with FlexRAN and deep neural networks to improve wireless performance and resource utilization in the upper PHY running in L1 DU software in 5G Open vRAN systems. This unique deep learning technology in Layer 1 improves power consumption, optimizes the computational load of the distributed unit (DU) baseband processing, and maximizes spectral efficiency, coverage area, and link margins. These findings are based on tests conducted in DeepSig’s 5G Wireless AI Lab , which uses commercially available products to construct an end-to-end 5G standalone (SA) network based on Open vRAN architecture. The 5G test lab uses a mid-band FCC experimental license to conduct 5G NR over-the-air (OTA) tests with commercial 5G Handsets to validate model performance in a live environment across a range of operating configurations. “Performance and cost are top concerns operators have when it comes to deploying 5G networks,” said James Shea, DeepSig CEO. “Our technology continues to show machine learning provides leading vRAN performance that’s robust and operational for addressing both concerns. This new white paper is a must-read for operators who have– or plan to implement–5G vRAN and want to lower opex and capex.” “Amplifying 5G vRAN Performance with AI & Deep Learning” is available for download . About DeepSig DeepSig, Inc. is a venture-backed and product-centric technology company developing revolutionary wireless processing software solutions using cutting edge machine learning techniques to transform baseband processing, wireless sensing and other key wireless applications. Known as “deep learning,” a proven technology in vision and speech processing now accelerates 5G network performance, capacity, operational efficiency and the customer experience. For more information, visit https://www.deepsig.ai . Contacts Casey Bush

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