Cyngn has a total of 48 patents globally, out of which 25 have been granted. Of these 48 patents, more than 55% patents are active. United States of America is where Cyngn has filed the maximum number of patents. Parallelly, USA seems to be the main focused R&D centre and also is the origin country of Cyngn.
Cyngn founded in 2013, the company develops autonomous tuggers and forklifts powered by its DriveMod technology to automate material handling and repetitive industrial tasks. Its solutions combine self-driving capabilities with heavy-duty vehicles to improve safety, flexibility, and operational efficiency across indoor and outdoor environments. The company reports reducing labor costs by 64% and increasing team productivity by 33%, with a focus on warehouse, factory, and industrial automation.
Do read about some of the most popular patents of Cyngn which have been covered by us in this article and also you can find Cyngn patents information, the worldwide patent filing activity and its patent filing trend over the years, and many other stats over Cyngn patent portfolio.
How many patents does Cyngn have?
Cyngn has a total of 48 patents globally. These patents belong to 6 unique patent families. Out of 48 patents, 27 patents are active.
How Many Patents did Cyngn 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 | Cyngn Applications Filed | Cyngn Patents Granted |
| 2026 | 1 | 1 |
| 2025 | – | 2 |
| 2024 | 1 | 3 |
| 2023 | 2 | 16 |
| 2022 | 38 | 1 |
| 2021 | 2 | 2 |
| 2019 | 4 | – |
How many Cyngn patents are Alive/Dead?
Worldwide Patents
How Many Patents did Cyngn File in Different Countries?
All the Patents were filed by Cyngn in The United States of America.
Where are Research Centres of Cyngn Patents Located?
The Research Centre for all the Cyngn patents is the United States of America.
10 Best Cyngn Patents
US20200097004A1 is the most popular patent in the Cyngn portfolio. It has received 16 citations so far.
Below is the list of 10 most cited patents of Cyngn:
| Publication Number | Citation Count |
| US20200097004A1 | 16 |
| US11372115B2 | 3 |
| US11186234B2 | 3 |
| US12181890B2 | 2 |
| US11745762B2 | 2 |
| WO2023069558A1 | 2 |
| WO2023028274A1 | 2 |
| US11837090B2 | 1 |
| US11679726B2 | 1 |
| WO2022271752A1 | 1 |
What Percentage of Cyngn US Patent Applications were Granted?
Cyngn (Excluding its subsidiaries) has filed 26 patent applications at USPTO so far (Excluding Design and PCT applications). Out of these 21 have been granted leading to a grant rate of 95.45%.
Below are the key stats of Cyngn patent prosecution at the USPTO.
Which Law Firms are managing US Patents for Cyngn?
| Law Firm | Total Applications | Success Rate |
| Maschoff Brennan | 26 | 95.45% |
List of Cyngn Patents
| Cyngn Patents | Title |
| US12530029B2 | System And Method Of Adaptive, Real-Time Vehicle System Identification For Autonomous Driving |
| US20260150770A1 | System And Method Of Adaptive, Real-Time Vehicle System Identification For Autonomous Driving |
| US12332083B2 | Modular Sensor System For Automated Guided Vehicles |
| US12246733B2 | System And Method Of Off-Board-Centric Autonomous Driving Computation |
| US20250076880A1 | High-Definition Mapping |
| US12181890B2 | High-Definition Mapping |
| US12039867B2 | System And Methods Of Adaptive Object-Based Decision Making For Autonomous Driving |
| US12032099B2 | Adaptive Motion Compensation Of Perception Channels |
| US11851074B2 | System And Method Of Large-Scale Autonomous Driving Validation |
| US11837089B2 | Modular Extensible Behavioral Decision System For Autonomous Driving |
| US11837090B2 | System And Methods Of Adaptive Traffic Rule-Based Decision Making For Autonomous Driving |
| US11767034B2 | System And Method Of Computation Acceleration For Autonomous Driving Systems |
| US11760368B2 | System And Method Of Same-Loop Adaptive Simulation For Autonomous Driving |
| US11745762B2 | System And Methods Of Adaptive Trajectory Prediction For Autonomous Driving |
| US11747454B2 | Granularity-Flexible Existence-Based Object Detection |
| US11745750B2 | System And Method Of Large-Scale Automatic Grading In Autonomous Driving Using A Domain-Specific Language |
| US11745747B2 | System And Method Of Adaptive Distribution Of Autonomous Driving Computations |
| US11679726B2 | Vehicle Sensor Systems |
| US11673577B2 | System And Methods Of Adaptive Relevancy Prediction For Autonomous Driving |
| US11668833B2 | Obstacle Detection Systems |
| US11651583B2 | Multi-Channel Object Matching |
| US11614527B2 | Self-Adaptive Lidar-Camera Synchronization System |
| US11592565B2 | Flexible Multi-Channel Fusion Perception |
| US11555928B2 | Three-Dimensional Object Detection With Ground Removal Intelligence |
| WO2023154422A1 | Modular Sensor System For Automated Guided Vehicles |
| WO2023287829A8 | Adaptive Motion Compensation Of Perception Channels |
| WO2023069559A1 | System And Method Of Computation Acceleration For Autonomous Driving Systems |
| WO2023069558A1 | System And Method Of Large-Scale Automatic Grading In Autonomous Driving Using A Domain-Specific Language |
| WO2023069556A1 | System And Method Of Same-Loop Adaptive Simulation For Autonomous Driving |
| WO2023009549A3 | High-Definition Mapping |
| WO2023039261A1 | System And Method Of Adaptive, Real-Time Vehicle System Identification For Autonomous Driving |
| WO2023014733A3 | System And Methods Of Adaptive Trajectory Prediction For Autonomous Driving |
| WO2023028274A1 | System And Method Of Large-Scale Autonomous Driving Validation |
| WO2023028277A1 | System And Method Of Off-Board-Centric Autonomous Driving Computation |
| WO2023028273A1 | System And Method Of Adaptive Distribution Of Autonomous Driving Computations |
| WO2023015010A1 | Modular Extensible Behavioral Decision System For Autonomous Driving |
| WO2023015012A1 | System And Methods Of Adaptive Object-Based Decision Making For Autonomous Driving |
| WO2023014731A1 | System And Methods Of Adaptive Relevancy Prediction For Autonomous Driving |
| WO2023015011A1 | System And Methods For Adaptive Traffic Rule-Based Decision Making For Autonomous Driving |
| WO2023283469A1 | Multi-Channel Object Matching |
| WO2023283468A1 | Flexible Multi-Channel Fusion Perception |
| US11372115B2 | Vehicle Localization |
| WO2022271750A1 | Three-Dimensional Object Detection With Ground Removal Intelligence |
| WO2022271742A1 | Granularity-Flexible Existence-Based Object Detection |
| WO2022271752A1 | Self-Adaptive Lidar-Camera Synchronization System |
| US11186234B2 | Vehicle Sensor Systems |
| US11169271B2 | Obstacle Detection Systems |
| US20200097004A1 | Evolutionary Algorithmic State Machine For Autonomous Vehicle Planning |
What are Cyngn key innovation segments?
What Technologies are Covered by Cyngn?
The chart below distributes patents filed by Cyngn