Cape Analytics has a total of 22 patents globally, out of which 9 have been granted. Of these 22 patents, more than 77% patents are active. The United States of America is where Cape Analytics has filed the maximum number of patents, followed by Europe and Australia. Parallelly, the United States of America seems to be the main focused R&D centre and also is the origin country of Cape Analytics.
Cape Analytics was founded in the year 2017. Software solutions are provided by Cape Analytics. To immediately and automatically extract private property data, the company provides solutions for geospatial photography, computer vision, and machine learning.
Do read about some of the most popular patents of Cape Analytics which have been covered by us in this article and also you can find Cape Analytics patents information, the worldwide patent filing activity and its patent filing trend over the years, and many other stats over the Cape Analytics patent portfolio.
How many patents does the founder and the CEO of Cape Analytics have?
The founder Ryan Kottenstette (Also CEO) have 15 patents and Suat Gedikli Hanes have 18 patents.
How many patents does Cape Analytics have?
Cape Analytics has a total of 22 patents globally. These patents belong to 5 unique patent families. Out of 22 patents, 17 patents are active.
How Many Patents did Cape Analytics 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 | Cape Analytics Applications Filed | Cape Analytics Patents Granted |
| 2022 | 1 | 4 |
| 2021 | 10 | 2 |
| 2020 | 1 | 1 |
| 2019 | 5 | 2 |
| 2016 | 5 | – |
How many Cape Analytics patents are Alive/Dead?
How Many Patents did Cape Analytics File in Different Countries?
Countries in which Cape Analytics Filed Patents
| Country | Patent |
| United States of America | 13 |
| Europe | 2 |
| Australia | 1 |
| Canada | 1 |
Where are Research Centres of Cape Analytics Patents Located?
The Research Center of Cape Analytics Patents is the United States of America.
How many inventions of other companies were rejected due to Cape Analytics patents?
The statistics below share strategic R&D insights. It tells the companies that were trying to protect inventions similar to Cape Analytics’ invention. They couldn’t because Cape Analytics had protected those before them.
Examiners at the USPTO used 2 Cape Analytics patents in 26 rejections (35 USC § 102 or 35 USC § 103 types).
The top citing companies in the Cape Analytics patent portfolio are Slingshot Aerospace, Google and Robert Bosch.
List of the Companies whose Patents were rejected citing Cape Analytics –
| Company | Number of Patent Applications that faced Rejection Citing Cape Analytics Patents | Number of Rejections (102 & 103) |
| Slingshot Aerospace | 2 | 3 |
| 2 | 2 | |
| Robert Bosch | 1 | 2 |
| Adobe | 1 | 1 |
| Toyota | 1 | 1 |
| Geosat Aerospace & Technology | 1 | 1 |
| Ricoh | 1 | 1 |
| Silicon Valley Bank | 1 | 4 |
| Geomni | 1 | 1 |
| Avizia | 1 | 1 |
What Percentage of Cape Analytics US Patent Applications were Granted?
Cape Analytics (Excluding its subsidiaries) has filed 12 patent applications at USPTO so far (Excluding Design and PCT applications). Out of these 8 have been granted leading to a grant rate of 100%.
Below are the key stats of Cape Analytics patent prosecution at the USPTO.
Which Law Firms Filed Most US Patents for Cape Analytics?
| Law Firm | Total Applications | Success Rate |
| Schox | 12 | 100% |
List of Cape Analytics Patents
| Cape Analytics Patent | Title |
| US20220277538A1 | Method And System For Automated Debris Detection |
| US20220100794A1 | System And Method For Geocoding |
| US20220076055A1 | Systems, Methods, And Computer Readable Media For Predictive Analytics And Change Detection From Remotely Sensed Imagery |
| US20220076423A1 | Method For Property Feature Segmentation |
| US20220004762A1 | Systems And Methods For Analyzing Remote Sensing Imagery |
| US11367265B2 | Method And System For Automated Debris Detection |
| US11232150B2 | System And Method For Geocoding |
| US11222426B2 | Method For Property Feature Segmentation |
| US11210552B2 | Systems, Methods, And Computer Readable Media For Predictive Analytics And Change Detection From Remotely Sensed Imagery |
| US11151378B2 | Systems And Methods For Analyzing Remote Sensing Imagery |
| US10643072B2 | Systems And Methods For Analyzing Remote Sensing Imagery |
| US10366288B1 | Systems And Methods For Analyzing Remote Sensing Imagery |
| US10311302B2 | Systems And Methods For Analyzing Remote Sensing Imagery |
| EP3881161A1 | Systems, Methods, And Computer Readable Media For Predictive Analytics And Change Detection From Remotely Sensed Imagery |
| EP3345129A4 | Systems And Methods For Analyzing Remote Sensing Imagery |
| WO2022082007A1 | Method And System For Automated Debris Detection |
| WO2021247603A1 | Method For Property Feature Segmentation |
| WO2021207733A1 | System And Method For Geocoding |
| WO2020102339A1 | Systems, Methods, And Computer Readable Media For Predictive Analytics And Change Detection From Remotely Sensed Imagery |
| WO2017040691A1 | Systems And Methods For Analyzing Remote Sensing Imagery |
| AU2016315938B2 | Systems And Methods For Analyzing Remote Sensing Imagery |
| CA2995850A1 | Systems And Methods For Analyzing Remote Sensing Imagery |