Insitro has a total of 29 patents globally, out of which 3 have been granted. Of these 29 patents, more than 86% patents are active. The United States of America is where Insitro has filed the maximum number of patents, followed by Canada and Europe. Parallelly, the United States of America seems to be the main focused R&D centre and also is the origin country of Insitro.
Insitro was founded in the year 2018 by Daphne Koller. The company operates as a data-driven drug discovery and development company. The Company leverages machine learning and high-throughput biology to transform the way medicines are created to help patients.
Do read about some of the most popular patents of Insitro which have been covered by us in this article and also you can find Insitro patents information, the worldwide patent filing activity and its patent filing trend over the years, and many other stats over Insitro patent portfolio.
How many patents does the founder and the CEO of Insitro have?
The founder and CEO Daphne Koller has 8 patents.
How many patents does Insitro have?
Insitro has a total of 29 patents globally. These patents belong to 10 unique patent families. Out of 29 patents, 25 patents are active.
How Many Patents did Insitro 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 | Insitro Applications Filed | Insitro Patents Granted |
| 2022 | 4 | 2 |
| 2021 | 8 | 1 |
| 2020 | 5 | – |
| 2018 | 8 | – |
| 2017 | 4 | – |
How many Insitro patents are Alive/Dead?
How Many Patents did Insitro File in Different Countries?
Countries in which Insitro Filed Patents
| Country | Patents |
| United States Of America | 8 |
| Canada | 4 |
| Europe | 4 |
| India | 2 |
| China | 2 |
| Australia | 1 |
Where are the Research Centres of Insitro Patents Located?
The Research Centre for all the Insitro patents is the United States of America.
What Percentage of Insitro US Patent Applications were Granted?
Insitro (Excluding its subsidiaries) has filed 5 patent applications at USPTO so far (Excluding Design and PCT applications). Out of these 1 have been granted leading to a grant rate of 100.0%.
Below are the key stats of Insitro patent prosecution at the USPTO.
Which Law Firms Filed Most US Patents for Insitro?
| Law Firm | Total Applications | Success Rate |
| Morrison & Foerster | 3 | 100.00% |
| Goodwin Procter | 2 | 0% |
List of Insitro Patents
| Insitro Patents | Title |
| US11423256B2 | Biological Image Transformation Using Machine-Learning Models |
| US11186836B2 | Oligonucleotide Directed And Recorded Combinatorial Synthesis Of Encoded Probe Molecules |
| US20220358331A1 | Biological Image Transformation Using Machine-Learning Models |
| US20220154179A1 | Oligonucleotide Directed And Recorded Combinitorial Synthesis Of Encoded Probe Molecules |
| US20220145362A1 | Methods And Systems For Processing Or Analyzing Oligonucleotide Encoded Molecules |
| US20210366577A1 | Predicting Disease Outcomes Using Machine Learned Models |
| US20200332441A1 | Molecules For Verifying Oligonucleotide Directed Combinatorial Synthesis And Methods Of Making And Using The Same |
| US20200263163A1 | Multinomial Encoding For Oligonucleotide-Directed Combinatorial Chemistry |
| EP3938566A4 | Methods And Systems For Processing Or Analyzing Oligonucleotide Encoded Molecules |
| EP3688156A4 | Multinomial Encoding For Oligonucleotide-Directed Combinatorial Chemistry |
| EP3619340A4 | Molecules For Verifying Oligonucleotide Directed Combinatorial Synthesis And Methods Of Making And Using The Same |
| EP3472376A4 | Oligonucleotide Directed And Recorded Combinatorial Synthesis Of Encoded Probe Molecules |
| CN109312492B | Oligonucleotide-Directed And Recorded Combinatorial Synthesis Of Encoded Probe Molecules |
| CN111295444A | Multinomial Encoding For Oligonucleotide-Directed Combinatorial Chemistry |
| WO2022266658A1 | Methods Of Preparing Bivalent Molecules |
| WO2022261241A1 | Predicting Cellular Pluripotency Using Contrast Images |
| WO2022178522A1 | Synthetic Barcoding Of Cell Line Background Genetics |
| WO2022055903A3 | Biological Image Transformation Using Machine-Learning Models |
| WO2021237117A1 | Predicting Disease Outcomes Using Machine Learned Models |
| WO2020186174A1 | Methods And Systems For Processing Or Analyzing Oligonucleotide Encoded Molecules |
| WO2019060856A1 | Multinomial Encoding For Oligonucleotide-Directed Combinatorial Chemistry |
| WO2018204420A1 | Molecules For Verifying Oligonucleotide Directed Combinatorial Synthesis And Methods Of Making And Using The Same |
| CA3178602A1 | Predicting Disease Outcomes Using Machine Learned Models |
| CA3131890A1 | Methods And Systems For Processing Or Analyzing Oligonucleotide Encoded Molecules |
| CA3076755A1 | Multinomial Encoding For Oligonucleotide-Directed Combinatorial Chemistry |
| CA3024875A1 | Oligonucleotide Directed And Recorded Combinatorial Synthesis Of Encoded Probe Molecules |
| IN202117043426A | Methods And Systems For Processing Or Analyzing Oligonucleotide Encoded Molecules |
| IN202017016079A | Multinomial Encoding For Oligonucleotide-Directed Combinatorial Chemistry |
| AU2021275995A1 | Predicting Disease Outcomes Using Machine Learned Models |