Deepsig has a total of 38 patents globally, out of which 18 have been granted. Of these 38 patents, more than 89% patents are active. The United States of America is where Deepsig has filed the maximum number of patents, followed by China and Europe. Parallelly, The United States of America seems to be the main focused R&D center and also USA is the origin country of Deepsig.
Deepsig was founded in 2016. The company’s line of business includes providing professional engineering services.
Do read about some of the most popular patents of Deepsig which have been covered by us in this article and also you can find Deepsig patents information, the worldwide patent filing activity and its patent filing trend over the years, and many other stats over Deepsig patent portfolio.
How many patents does the Founder and CEO of Deepsig have?
The Founder Tim O’Shea has 5 patents and the CEO Jim Shea have 2 patents.
How many patents does Deepsig have?
Deepsig has a total of 38 patents globally. These patents belong to 13 unique patent families. Out of 38 patents, 34 patents are active.
How Many Patents did Deepsig File Every Year?
Are you wondering why there is a drop in patent filing for the last two years? It is because a patent application can take up to 18 months to get published. Certainly, it doesn’t suggest a decrease in the patent filing.
| Year of Patents Filing or Grant | Deepsig Applications Filed | Deepsig Patents Granted |
| 2023 | – | 2 |
| 2022 | 8 | 5 |
| 2021 | 2 | 2 |
| 2020 | 12 | 7 |
| 2019 | 7 | 2 |
| 2018 | 9 | – |
How many Deepsig patents are Alive/Dead?
Worldwide Patents
How Many Patents did Deepsig File in Different Countries?
Countries in which Deepsig Filed Patents
| Country | Patents |
| United States Of America | 24 |
| China | 3 |
| Europe | 3 |
| Korea (South) | 3 |
Where are Research Centers of Deepsig Patents Located?
The Research Centre for all the Deepsig patents is the United States of America.
10 Best Deepsig Patents
US20200143279A1 is the most popular patent in the Deepsig portfolio. It has received 31 citations so far from companies like IBM, Tesla and Movandi Corporation.
Below is the list of 10 most cited patents of Deepsig:
| Publication Number | Citation Count |
| US20200143279A1 | 31 |
| US10581469B1 | 27 |
| US10749594B1 | 22 |
| US10429486B1 | 20 |
| US10833785B1 | 17 |
| US20200257985A1 | 10 |
| US10200875B2 | 9 |
| US10531415B2 | 8 |
| US11228379B1 | 6 |
| US11233561B1 | 2 |
What Percentage of Deepsig US Patent Applications were Granted?
Deepsig (Excluding its subsidiaries) has filed 21 patent applications at USPTO so far (Excluding Design and PCT applications). Out of these 13 have been granted leading to a grant rate of 100.0%.
Below are the key stats of Deepsig patent prosecution at the USPTO.
Which Law Firms Filed Most US Patents for Deepsig?
| Law Firm | Total Applications | Success Rate |
| Fish & Richardson | 21 | 100.00% |
List of Deepsig Patents
| Deepsig Patents | Title |
| US11626932B1 | Radio Signal Processing Network Model Search |
| US11581965B2 | Processing Communications Signals Using A Machine-Learning Network |
| US11284277B2 | Communications And Measurement Systems For Characterizing Radio Propagation Channels |
| US11259260B2 | Learning Communication Systems Using Channel Approximation |
| US11233561B1 | Learning-Based Space Communications Systems |
| US11228379B1 | Radio Signal Processing Network Model Search |
| US11018704B1 | Machine Learning-Based Nonlinear Pre-Distortion System |
| US10841810B2 | Placement And Scheduling Of Radio Signal Processing Dataflow Operations |
| US10833785B1 | Processing Communications Signals Using A Machine-Learning Network |
| US10749594B1 | Learning-Based Space Communications Systems |
| US10746843B2 | Method And System For Learned Communications Signal Shaping |
| US10581469B1 | Machine Learning-Based Nonlinear Pre-Distortion System |
| US10531415B2 | Learning Communication Systems Using Channel Approximation |
| US10429486B1 | Method And System For Learned Communications Signal Shaping |
| US10200875B2 | Placement And Scheduling Of Radio Signal Processing Dataflow Operations |
| US20230144796A1 | Estimating Direction Of Arrival Of Electromagnetic Energy Using Machine Learning |
| US20220383118A1 | Generating Variable Communication Channel Responses Using Machine Learning Networks |
| US20220264328A1 | Communications And Measurement Systems For Characterizing Radio Propagation Channels |
| US20220255618A1 | Learning-Based Space Communications Systems |
| US20220174634A1 | Learning Communication Systems Using Channel Approximation |
| US20220050133A1 | Systems And Methods For Detecting And Classifying Drone Signals |
| US20210136596A1 | Placement And Scheduling Of Radio Signal Processing Dataflow Operations |
| US20200257985A1 | Adversarially Generated Communications |
| US20200143279A1 | Radio Frequency Band Segmentation, Signal Detection And Labelling Using Machine Learning |
| EP3959848A4 | Processing Communications Signals Using A Machine-Learning Network |
| EP3759654A4 | Learning Communication Systems Using Channel Approximation |
| EP3612931A4 | Placement And Scheduling Of Radio Signal Processing Dataflow Operations |
| CN113791907B | Placement And Scheduling Of Radio Signal Processing Dataflow Operations |
| CN111247513B | Placement And Scheduling Of Radio Signal Processing Dataflow Operations |
| CN113906719A | Processing Communications Signals Using A Machine-Learning Network |
| WO2022203761A4 | Estimating Direction Of Arrival Of Electromagnetic Energy Using Machine Learning |
| WO2022251668A1 | Generating Variable Communication Channel Responses Using Machine Learning Networks |
| KR102172866B1 | Placement And Scheduling Of Radio Signal Processing Dataflow Operations |
| KR1020230019263A | Processing Communications Signals Using A Machine-Learning Network |
| WO2022036105A1 | Systems And Methods For Detecting And Classifying Drone Signals |
| WO2020219690A1 | Processing Communications Signals Using A Machine-Learning Network |
| WO2019169400A1 | Learning Communication Systems Using Channel Approximation |
| KR1020220009392A | Processing Of Communication Signals Using Machine-Learning Networks |
What are Deepsig key innovation segments?
What Technologies are Covered by Deepsig?
The chart below distributes patents filed by Deepsig