Klarna has a total of 48 patents globally, out of which 22 have been granted. Of these 9171 patents, more than 63% patents are active. The United States of America is where Klarna has filed the maximum number of patents, followed by Europe and United Kingdom. Parallelly, United States of America seems to be the main focused R&D center and also Sweden is the origin country of Klarna.
Klarna was founded in 2005 by Sebastian Siemiatkowski and Niklas Adalberth. Klarna provides e-commerce payment systems and solutions. The Company offers credit to shoppers and allows them to pay after they receive the goods. Klarna conducts business worldwide.
Read about some of the most popular patents of Klarna which have been covered by us in this article and also you can find Klarna patents information, the worldwide patent filing activity and its patent filing trend over the years, and many other stats over Klarna patent portfolio.
How many patents does the Founder and CEO of Klarna have?
The Founder Sebastian Siemiatkowski and Niklas Adalberth have 4 patents and the CEO Sebastian Siemiatkowski have 4 patents.
How many patents does Klarna have?
Klarna has a total of 48 patents globally. These patents belong to 21 unique patent families. Out of 48 patents, 43 patents are active.
How Many Patents did Klarna 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 | Klarna Applications Filed | Klarna Patents Granted |
2012 | 2 | – |
2013 | 4 | 1 |
2015 | 7 | – |
2016 | 3 | 1 |
2017 | 11 | 8 |
2018 | 2 | 4 |
2019 | 7 | 4 |
2020 | 8 | 3 |
2021 | 4 | 1 |
How many Klarna patents are Alive/Dead?
Worldwide Patents
How Many Patents did Klarna File in Different Countries?
Countries in which Klarna Filed Patents
Country | Patents |
United States Of America | 28 |
Europe | 6 |
United Kingdom | 4 |
Korea (South) | 1 |
Montenegro | 1 |
Norway | 1 |
Where are Research Centers of Klarna Patents Located?
10 Best Klarna Patents
US9355155B1 is the most popular patent in the Klarna portfolio. It has received 44 citations so far from companies like Amazon, Paypal and IBM.
Below is the list of 10 most cited patents of Klarna:
Publication Number | Citation Count |
US9355155B1 | 44 |
US10417621B2 | 28 |
US20170004573A1 | 20 |
US20140222616A1 | 14 |
US20170032352A1 | 7 |
US10121176B2 | 5 |
USD867392S1 | 4 |
US9904916B2 | 4 |
US10387882B2 | 3 |
US20180144315A1 | 3 |
What Percentage of Klarna US Patent Applications were Granted?
Klarna (Excluding its subsidiaries) has filed 25 patent applications at USPTO so far (Excluding Design and PCT applications). Out of these 9 have been granted leading to a grant rate of 100.0%.
Below are the key stats of Klarna patent prosecution at the USPTO.
Which Law Firms Filed Most US Patents for Klarna?
Law Firm | Total Applications | Success Rate |
Davis Wright Tremaine Llp | 25 | 100.00% |
List of Klarna Patents –
Publication Number | Title |
US20220050560A1 | Extraction And Restoration Of Option Selections In A User Interface |
US20210314149A1 | Service-To-Service Strong Authentication |
US20210279081A1 | Real-Time Interface Classification In An Application |
US11086486B2 | Extraction And Restoration Of Option Selections In A User Interface |
US20210216333A1 | Interface Classification System |
US20210216334A1 | Method Of Training A Learning System To Classify Interfaces |
US20210157791A1 | Image-Based Record Linkage |
US20210141498A1 | Unsupervised Location And Extraction Of Quantity And Unit Value Elements In A User Interface |
US20210141497A1 | Dynamic Location And Extraction Of A User Interface Element State In A User Interface That Is Dependent On An Event Occurrence In A Different User Interface |
US20210141652A1 | Location And Extraction Of Item Elements In A User Interface |
US20210141620A1 | Dynamic Identification Of User Interface Elements Through Unsupervised Exploration |
US20210141619A1 | Unsupervised Location And Extraction Of Option Elements In A User Interface |
US10846106B1 | Real-Time Interface Classification In An Application |
US20200202317A1 | Method For Using Supervised Model To Identify User |
US10607199B2 | Method For Using Supervised Model To Identify User |
USD867392S1 | Display Screen Or Portion Thereof With An Icon |
USD864998S1 | Display Screen Or Portion Thereof With An Eyeglasses Icon |
US10417621B2 | Method For Using Supervised Model To Configure User Interface Presentation |
US10387882B2 | Method For Using Supervised Model With Physical Store |
US10121176B2 | Methods And Systems For Simplifying Ordering From Online Shops |
US20180144315A1 | Incremental Login And Authentication To User Portal Without Username/Password |
US9904916B2 | Incremental Login And Authentication To User Portal Without Username/Password |
US9886686B2 | Method For Using Supervised Model To Identify User |
US20170032352A1 | Integration Of Extended Computer System Functionality |
US20170004573A1 | Workflow Processing And User Interface Generation Based On Activity Data |
US9355155B1 | Method For Using Supervised Model To Identify User |
US20160086293A1 | Human-Computer Collaboration For Travel Planning |
US20140222616A1 | System And Methods For Party Authentication And Credit Assessment In Electronic Purchasing |
EP3267373A1 | Income Margin Determination |
EP2823447A1 | System And Method For Customer Authentication And Credit Assessment In Electronic Commerce |
WO2021198850A1 | Service-To-Service Strong Authentication |
WO2021181245A1 | Real-Time Interface Classification In An Application |
WO2021144680A1 | Interface Classification System |
WO2021105859A1 | Image-Based Record Linkage |
WO2021094925A1 | Dynamic Location And Extraction Of A User Interface Element State In A User Interface That Is Dependent On An Event Occurrence In A Different User Interface |
WO2013131971A1 | System And Method For Customer Authentication And Credit Assessment In Electronic Commerce |
KR102103612B1 | System And Method For Customer Authentication And Credit Assessment In Electronic Commerce |
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