Sisense has a total of 37 patents globally, out of which 13 have been granted. Of these 37 patents, more than 86% patents are active. The United States of America is where Sisense has filed the maximum number of patents, followed by Europe. Parallelly, the United States of America seems to be the main focused R&D centre and also is the origin country of Sisense.
Sisense was founded in the year 2004. The company provides organizations with the ability to infuse analytics everywhere, embedded in both customers, and employee applications and workflows. The Company offers a highly customizable, AI-driven analytics cloud platform that infuses intelligence at the right place and the right time, every time.
Do read about some of the most popular patents of Sisense which have been covered by us in this article and also you can find Sisense patents information, the worldwide patent filing activity and its patent filing trend over the years, and many other stats over Sisense patent portfolio.
How many patents does the founder and the CEO of Sisense have?
The founders Adi Azaria has 7 patents, Aviad Harell has 0 patent, Elad Israeli has 0 patent, Eldad Farkash has 2 patents and Guy Boyangu has 3 patents and CEO Amir Orad has 14 patents.
How many patents does Sisense have?
Sisense has a total of 37 patents globally. These patents belong to 15 unique patent families. Out of 37 patents, 32 patents are active.
How Many Patents did Sisense 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||Sisense Applications Filed||Sisense Patents Granted|
How many Sisense patents are Alive/Dead?
How Many Patents did Sisense File in Different Countries?
Countries in which Sisense Filed Patents
|United States Of America||32|
Where are the Research Centres of Sisense Patents Located?
The Research Centre for all the Sisense patents is the United States of America.
10 Best Sisense Patents
US20160292194A1 is the most popular patent in the Sisense portfolio. It has received 15 citations so far from companies like Cubismi, IBM and Salesforce.Com.
Below is the list of 10 most cited patents of Sisense:
|Publication Number||Citation Count|
What Percentage of Sisense US Patent Applications were Granted?
Sisense (Excluding its subsidiaries) has filed 24 patent applications at USPTO so far (Excluding Design and PCT applications). Out of these 13 have been granted leading to a grant rate of 92.86%.
Below are the key stats of Sisense patent prosecution at the USPTO.
Which Law Firms Filed Most US Patents for Sisense?
|Law Firm||Total Applications||Success Rate|
|M&B Ip Analysts||24||92.86%|
List of Sisense Patents
|US11354330B2||System And Method For Partitioning Data Based On Authorization Rules|
|US11354373B2||System And Method For Efficiently Querying Data Using Temporal Granularities|
|US11347796B2||Eliminating Many-To-Many Joins Between Database Tables|
|US11334581B2||System And Method For Providing An Enriched Sensory Response To Analytics Queries|
|US11321320B2||System And Method For Approximating Query Results Using Neural Networks|
|US11256985B2||System And Method For Generating Training Sets For Neural Networks|
|US11250018B2||Method For Automated Query Language Expansion And Indexing|
|US11216437B2||System And Method For Representing Query Elements In An Artificial Neural Network|
|US11210342B2||System And Method For Providing Improved Interfaces For Data Operations Based On A Connections Graph|
|US11100001B2||Techniques For Improving Space Utilization In A Cache|
|US10642835B2||System And Method For Increasing Accuracy Of Approximating Query Results Using Neural Networks|
|US10621172B2||System And Method For Efficiently Generating Responses To Queries|
|US10503508B2||Predictive Query Execution In Analytical Databases|
|US20220261452A1||System And Method For Efficiently Querying Data Using Temporal Granularities|
|US20220261412A1||System And Method For Partitioning Data Based On Authorization Rules|
|US20220197950A1||Eliminating Many-To-Many Joins Between Database Tables|
|US20220121678A1||Method For Automated Query Language Expansion And Indexing|
|US20220121677A1||Method For Automated Query Language Expansion And Indexing|
|US20220100775A1||Method For Automated Query Language Expansion And Indexing|
|US20220083528A1||System And Method For Representing Query Elements In An Artificial Neural Network|
|US20220075823A1||System And Method For Providing Improved Interfaces For Data Operations Based On A Connections Graph|
|US20210209125A1||System And Method For Generating Analytical Insights Utilizing A Semantic Knowledge Graph|
|US20210042589A1||System And Method For Content-Based Data Visualization Using A Universal Knowledge Graph|
|US20200409972A1||Method For Synchronization Of Repository Data Using Data Criteria|
|US20200409955A1||System And Method For Improved Cache Utilization Using An Organizational Memory To Generate A Dashboard|
|US20200372019A1||System And Method For Automatic Completion Of Queries Using Natural Language Processing And An Organizational Memory|
|US20200372373A1||System And Method For Generating Organizational Memory Using Semantic Knowledge Graphs|
|US20200151173A1||Global Indexing Techniques For Accelerating Database Functions|
|US20190050724A1||System And Method For Generating Training Sets For Neural Networks|
|US20190050725A1||System And Method For Approximating Query Results Using Local And Remote Neural Networks|
|US20170337293A1||System And Method Of Rendering Multi-Variant Graphs|
|US20160292194A1||Column-Oriented Databases Management|
|EP3659044A4||System And Method For Increasing Accuracy Of Approximating Query Results Using Neural Networks|
|WO2019035861A1||System And Method For Approximating Query Results Using Neural Networks|
|WO2019035860A1||System And Method For Approximating Query Results|
|WO2019035862A1||System And Method For Increasing Accuracy Of Approximating Query Results Using Neural Networks|
|WO2016157191A1||Instructions Caching And Recycling Of Intermediate Query Results On A Columnar Database|