Cerebri AI has a total of 38 patents globally, out of which 21 have been granted. Of these 38 patents, more than 84% patents are active. The United States is where Cerebri AI has filed the maximum number of patents. Parallelly, the USA seems to be the main focused R&D center of Cerebri AI and is also the origin country of the firm.
Cerebri AI was founded in the year 2016 by Jean Bélanger and Thejas Prasad. Company provides customers with “Answers-as-a-Service” using our CVX real-time AI software platform.
Do read about some of the most popular patents of Cerebri AI which have been covered by us in this article and also you can find Cerebri AI patents information, the worldwide patent filing activity and its patent filing trend over the years, and many other stats over Cerebri AI patent portfolio.
How many patents does Cerebri AI have?
Cerebri AI has a total of 38 patents globally. These patents belong to 10 unique patent families. Out of 38 patents, 32 patents are active.
How Many Patents did Cerebri AI 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 | Cerebri AI Applications Filed | Cerebri AI Patents Granted |
| 2022 | 7 | 6 |
| 2021 | 3 | 2 |
| 2020 | 14 | 3 |
| 2019 | 7 | 2 |
| 2018 | 2 | – |
| 2017 | 4 | – |
| 2016 | – | – |
How many Cerebri AI patents are Alive/Dead?
Worldwide Patents
How Many Patents did Cerebri AI File in Different Countries?
The United States is where Cerebri AI has filed all patents.
Where are Research Centres of Cerebri AI Patents Located?
The R&D Centre of patents filed by Cerebri AI is USA.
10 Best Cerebri AI Patents
US20210056569A1 is the most popular patent in the Cerebri AI portfolio. It has received 84 citations so far from companies like Capital One Services and OneTrust LLC.
Below is the list of 10 most cited patents of Cerebri AI:
| Publication Number | Citation Count |
| US20210056569A1 | 84 |
| US10402723B1 | 32 |
| US20210174257A1 | 28 |
| US20190019213A1 | 15 |
| US10484343B1 | 7 |
| US20210342490A1 | 6 |
| US10861028B2 | 5 |
| US11068942B2 | 3 |
| WO2020018392A1 | 3 |
| US11556846B2 | 2 |
List of Cerebri AI patents
| Cerebri AI Patents | Title |
| US11783375B2 | Customer Journey Management Engine |
| US11776060B2 | Object-Oriented Machine Learning Governance |
| US11757850B2 | Distributed Logging For Securing Non-Repudiable Multi-Party Transactions |
| US11636393B2 | Predictive, Machine-Learning, Time-Series Computer Models Suitable For Sparse Training Sets |
| US11620477B2 | Decoupled Scalable Data Engineering Architecture |
| US11615271B2 | Machine Learning Pipeline Optimization |
| US11599752B2 | Distributed And Redundant Machine Learning Quality Management |
| US11556846B2 | Collaborative Multi-Parties/Multi-Sources Machine Learning For Affinity Assessment, Performance Scoring, And Recommendation Making |
| US11537878B2 | Machine-Learning Models To Leverage Behavior-Dependent Processes |
| US11501213B2 | Predictive, Machine-Learning, Locale-Aware Computer Models Suitable For Location- And Trajectory-Aware Training Sets |
| US11481790B2 | Customer Experience Artificial Intelligence Management Engine |
| US11449931B2 | Dynamic Business Governance Based On Events |
| US11416896B2 | Customer Journey Management Engine |
| US11386295B2 | Privacy And Proprietary-Information Preserving Collaborative Multi-Party Machine Learning |
| US11082409B2 | Verifying Message Authenticity With Decentralized Tamper-Evident Logs |
| US11068942B2 | Customer Journey Management Engine |
| US10861028B2 | Detecting And Reducing Bias (Including Discrimination) In An Automated Decision Making Process |
| US10783535B2 | Business Artificial Intelligence Management Engine |
| US10762563B2 | Monitoring And Controlling Continuous Stochastic Processes Based On Events In Time Series Data |
| US10484343B1 | Distributed Logging For Securing Non-Repudiable Multi-Party Transactions |
| US10402723B1 | Multi-Stage Machine-Learning Models To Control Path-Dependent Processes |
| US20230206124A1 | Collaborative Multi-Parties/Multi-Sources Machine Learning For Affinity Assessment, Performance Scoring, And Recommendation Making |
| US20230186083A1 | Machine-Learning Models To Leverage Behavior-Dependent Processes |
| US20230162289A1 | Machine Learning Pipeline Optimization |
| US20230141553A1 | Customer Experience Artificial Intelligence Management Engine |
| US20230135619A1 | Predictive, Machine-Learning, Locale-Aware Computer Models Suitable For Location- And Trajectory-Aware Training Sets |
| US20230085451A1 | Dynamic Business Governance Based On Events |
| US20230080773A1 | Privacy & Proprietary-Information Preserving Collaborative Multi-Party Machine Learning |
| US20210342490A1 | Auditable Secure Reverse Engineering Proof Machine Learning Pipeline And Methods |
| US20210174257A1 | Federated Machine-Learning Platform Leveraging Engineered Features Based On Statistical Tests |
| US20210056569A1 | Detecting And Reducing Bias (Including Discrimination) In An Automated Decision Making Process |
| US20210035152A1 | Predicting The Effectiveness Of A Marketing Campaign Prior To Deployment |
| US20200402084A1 | Object-Oriented Ai Modeling |
| US20190019213A1 | Predicting The Effectiveness Of A Marketing Campaign Prior To Deployment |
| WO2020247499A1 | Machine Learning Pipeline Optimization |
| WO2020227434A1 | Predictive, Machine-Learning, Locale-Aware Computer Models Suitable For Location- And Trajectory-Aware Training Sets |
| WO2020056060A1 | Multi-Stage Machine-Learning Models To Control Path-Dependent Processes |
| WO2020018392A1 | Monitoring And Controlling Continuous Stochastic Processes Based On Events In Time Series Data |
What are Cerebri AI’s key innovation segments?
What Technologies are Covered by Cerebri AI?
The chart below distributes patents filed by Cerebri AI