Hailo Technologies has a total of 36 patents globally, out of which 11 have been granted. Of these 36 patents, more than 87% patents are active. The United States of America is where Hailo Technologies has filed the maximum number of patents, followed by Japan and China. Parallelly, United States of America seems to be the main focused R&D centre and also Israel is the origin country of Hailo Technologies.
Hailo Technologies was founded in 2017 by Avi Baum, Hadar Zeitlin, and Orr Danon. Hailo Technologies designs and develops microprocessors. The Company focuses on building AI processors to compute and interpret vast amounts of data in real-time processors that can be embedded in the edge devices themselves. Hailo Technologies serves customers worldwide.
Do read about some of the most popular patents of Hailo Technologies which have been covered by us in this article and also you can find Hailo Technologies patents information, the worldwide patent filing activity and its patent filing trend over the years, and many other stats over Hailo Technologies patent portfolio.
How many patents does the Founder and CEO of Hailo Technologies have?
The Founder Avi Baum has 64 patents, Hadar Zeitlin has 18 patents and CEO Orr Danon have 2 patents.
How many patents does Hailo Technologies have?
Hailo Technologies has a total of 36 patents globally. These patents belong to 8 unique patent families. Out of 36 patents, 36 patents are active.
How Many Patents did Hailo Technologies 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 | Hailo Technologies Applications Filed | Hailo Technologies Patents Granted |
| 2017 | 3 | – |
| 2018 | 26 | – |
| 2019 | 1 | 1 |
| 2020 | 11 | – |
| 2022 | – | 10 |
How many Hailo Technologies patents are Alive/Dead?
Worldwide Patents
How Many Patents did Hailo Technologies File in Different Countries?
Countries in which Hailo Technologies Filed Patents
| Country | Patents |
| United States of America | 21 |
| Japan | 5 |
| China | 5 |
| Europe | 5 |
Where are Research Centers of Hailo Technologies Patents Located?
The Research Center of the Hailo Technologies Patents is the United States of America.
What Percentage of Hailo Technologies US Patent Applications were Granted?
Hailo Technologies (Excluding its subsidiaries) has filed 39 patent applications at USPTO so far (Excluding Design and PCT applications). Out of these 26 have been granted leading to a grant rate of 96.3%.
Below are the key stats of Hailo Technologies’ patent prosecution at the USPTO.
Which Law Firms Filed Most US Patents for Hailo Technologies?
| Law Firm | Total Applications | Success Rate |
| Zaretsky Group | 21 | 100.00% |
| Epic Law | 5 | 100.00% |
| Blue Filament Law | 4 | 100.00% |
| Whitaker Chalk Swindle & Schwartz | 3 | 100.00% |
| Cotman Ip Law Group | 2 | 100.00% |
| Covidien Lp | 1 | 100.00% |
| Mourad Ben Ayed | 1 | 100.00% |
| Steve Raney | 1 | 100.00% |
| Tran Filing | 1 | 0.00% |
List of Hailo Technologies Patents –
| Publication Number | Title |
| US11354563B2 | Configurable And Programmable Sliding Window Based Memory Access In A Neural Network Processor |
| US11263077B1 | Neural Network Intermediate Results Safety Mechanism In An Artificial Neural Network Processor |
| US11263512B2 | Neural Network Processor Incorporating Separate Control And Data Fabric |
| US11238331B2 | System And Method For Augmenting An Existing Artificial Neural Network |
| US11238334B2 | System And Method Of Input Alignment For Efficient Vector Operations In An Artificial Neural Network |
| US11237894B1 | Layer Control Unit Instruction Addressing Safety Mechanism In An Artificial Neural Network Processor |
| US11221929B1 | Data Stream Fault Detection Mechanism In An Artificial Neural Network Processor |
| US11216717B2 | Neural Network Processor Incorporating Multi-Level Hierarchical Aggregated Computing And Memory Elements |
| US10387298B2 | Artificial Neural Network Incorporating Emphasis And Focus Techniques |
| US20220101042A1 | Cluster Interlayer Safety Mechanism In An Artificial Neural Network Processor |
| US20220103186A1 | Weights Safety Mechanism In An Artificial Neural Network Processor |
| US20220101043A1 | Cluster Intralayer Safety Mechanism In An Artificial Neural Network Processor |
| US20220100601A1 | Software Defined Redundant Allocation Safety Mechanism In An Artificial Neural Network Processor |
| US20200285949A1 | Structured Activation Based Sparsity In An Artificial Neural Network |
| US20200285892A1 | Structured Weight Based Sparsity In An Artificial Neural Network |
| US20200285950A1 | Structured Weight Based Sparsity In An Artificial Neural Network Compiler |
| US20200279133A1 | Structured Sparsity Guided Training In An Artificial Neural Network |
| US20180285726A1 | Neural Network Processor Incorporating Inter-Device Connectivity |
| US20180285736A1 | Data Driven Quantization Optimization Of Weights And Input Data In An Artificial Neural Network |
| US20180285254A1 | System And Method Of Memory Access Of Multi-Dimensional Data |
| US20180285727A1 | Neural Network Processing Element Incorporating Compute And Local Memory Elements |
| EP3607500A4 | Neural Network Processing Element Incorporating Compute And Local Memory Elements |
| EP3607497A4 | Configurable And Programmable Sliding Window Based Memory Access In A Neural Network Processor |
| EP3607501A4 | Neural Network Processor Incorporating Inter-Device Connectivity |
| EP3607498A4 | Neural Network Processor Incorporating Multi-Level Hierarchical Aggregated Computing And Memory Elements |
| EP3607499A4 | Neural Network Processor Incorporating Separate Control And Data Fabric |
| CN110494869A | Neural Network Processor Incorporating Separate Control And Data Fabric |
| CN110476174A | Neural Network Processor Incorporating Inter-Device Connectivity |
| CN110462643A | Neural Network Processor Incorporating Multi-Level Hierarchical Aggregated Computing And Memory Elements |
| CN110462642A | Neural Network Processing Element Incorporating Compute And Local Memory Elements |
| CN110462640A | Configurable And Programmable Sliding Window Based Memory Access In Neural Network Processor |
| WO2018185765A1 | Neural Network Processor Incorporating Inter-Device Connectivity |
| WO2018185766A1 | Neural Network Processing Element Incorporating Compute And Local Memory Elements |
| WO2018185762A1 | Neural Network Processor Incorporating Multi-Level Hierarchical Aggregated Computing And Memory Elements |
| WO2018185763A1 | Neural Network Processor Incorporating Separate Control And Data Fabric |
| WO2018185764A1 | Configurable And Programmable Sliding Window Based Memory Access In A Neural Network Processor |
| JP7108268B2 | Neural Network Processor That Incorporates Device-To-Device Connections |
| JP2020517005A | A Neural Network Processor That Incorporates Multiple Layers Of Hierarchically Aggregated Computation And Memory Elements |
| JP2020515990A | Configurable And Programmable Sliding Window-Based Memory Access In Neural Network Processors |
| JP2020515989A | Neural Network Processing Elements Incorporating Computation And Local Memory Elements |
| JP2020515991A | A Neural Network Processor That Incorporates A Decoupled Control And Data Fabric |