Petuum has a total of 29 patents globally, out of which 14 have been granted. Of these 29 patents, more than 65% patents are active. The United States of America is where Petuum has filed all their patents. Parallelly, United States of America seems to be the main focused R&D centre and also is the origin country of Petuum.
Petuum was founded in 2016. Petuum produces software solutions. The company creates a machine learning infrastructure platform that supports workstations, laptops, mobile devices, and embedded devices and allows AI for businesses.
Do read about some of the most popular patents of Petuum which have been covered by us in this article and also you can find Petuum patents information, the worldwide patent filing activity and its patent filing trend over the years, and many other stats over Petuum patent portfolio.
How many patents does Petuum have?
Petuum has a total of 29 patents globally. These patents belong to 17 unique patent family. Out of 29 patents, 29 patents are active.
How Many Patents did Petuum 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 | Petuum Applications Filed | Petuum Patents Granted |
| 2023 | – | 1 |
| 2022 | 1 | 4 |
| 2021 | 3 | 4 |
| 2020 | 7 | 5 |
| 2019 | 2 | – |
| 2018 | 12 | – |
| 2017 | 4 | – |
How many Petuum patents are Alive/Dead?
How Many Patents did Petuum File in Different Countries?
Petuum filled all their patents in United States of America.
Where are Research Centers of Petuum Patents Located?
The Research Center of Petuum Patents is the United States of America.
What Percentage of Petuum US Patent Applications Were Granted?
Petuum (Excluding its subsidiaries) has filed 22 patent applications at USPTO so far (Excluding Design and PCT applications). Out of these 14 have been granted leading to a grant rate of 73.68%.
Below are the key stats of Petuum patent prosecution at the USPTO.
Which Law Firms Filed Most US Patents for Petuum?
| Law Firm | Total Applications | Success Rate |
| Magstone Law Llp | 18 | 86.67% |
| Linna R Chen | 4 | 25% |
List of Petuum Patents
| Petuum Patent | Title |
| US11282205B2 | Structure Correcting Adversarial Network For Chest X-Rays Organ Segmentation |
| US10699412B2 | Structure Correcting Adversarial Network For Chest X-Rays Organ Segmentation |
| US10706234B2 | Constituent Centric Architecture For Reading Comprehension |
| US10832387B2 | Real-Time Intelligent Image Manipulation System |
| US11348030B2 | System And Methods For Distributed Machine Learning With Multiple Data Sources, Multiple Programming Languages Or Frameworks, And Multiple Devices Or Infrastructures |
| US10782988B2 | Operating System For Distributed Enterprise Artificial Intelligence Programs On Data Centers And The Clouds |
| US11252260B2 | Efficient Peer-To-Peer Architecture For Distributed Machine Learning |
| US10649806B2 | Elastic Management Of Machine Learning Computing |
| US11101029B2 | Systems And Methods For Predicting Medications To Prescribe To A Patient Based On Machine Learning |
| US11087864B2 | Systems And Methods For Automatically Tagging Concepts To, And Generating Text Reports For, Medical Images Based On Machine Learning |
| US11543830B2 | Unsupervised Real-To-Virtual Domain Unification For End-To-End Highway Driving |
| US11301438B2 | System For Automated Data Engineering For Large Scale Machine Learning |
| US11119992B2 | System For Automated Data Engineering For Large Scale Machine Learning |
| US11106998B2 | System With Hybrid Communication Strategy For Large-Scale Distributed Deep Learning |
| US20210019866A1 | Real-Time Intelligent Image Manipulation System |
| US20220261694A1 | System And Methods For Distributed Machine Learning With Multiple Data Sources, Multiple Programming Languages Or Frameworks, And Multiple Devices Or Infrastructures |
| US20210026818A1 | System For Automated Data Engineering For Large Scale Machine Learning |
| US20210357816A1 | System With Hybrid Communication Strategy For Large-Scale Distributed Deep Learning |
| US20210343410A1 | Method To The Automatic International Classification Of Diseases (Icd) Coding For Clinical Records |
| US20200293721A1 | Constituent Centric Architecture For Reading Comprehension |
| US20200379789A1 | Operating System For Distributed Enterprise Artificial Intelligence Programs On Data Centers And The Clouds |
| US20210166028A1 | Automated Product Recognition, Analysis And Management |
| US20210192717A1 | Systems And Methods For Identifying Atheromatous Plaques In Medical Images |
| US20210358588A1 | Systems And Methods For Predicting Medications To Prescribe To A Patient Based On Machine Learning |
| US20210335469A1 | Systems And Methods For Automatically Tagging Concepts To, And Generating Text Reports For, Medical Images Based On Machine Learning |
| US20200027567A1 | Systems And Methods For Automatically Generating International Classification Of Diseases Codes For A Patient Based On Machine Learning |
| US20200027556A1 | Systems And Methods For Medical Topic Discovery Based On Large-Scale Machine Learning |
| US20190026655A1 | Machine Learning System For Patient Similarity |
| US20180330808A1 | Machine Learning System For Disease, Patient, And Drug Co-Embedding, And Multi-Drug Recommendation |
What are Petuum key innovation segments?
What Technologies are Covered by Petuum?
The chart below distributes patents filed by Petuum