Pure Storage had one patents in regtech during Q4 2023. The patent filed by Pure Storage Inc in Q4 2023 describes a method for error decoding data slices in a storage network, where encoded data slices are interspersed with auxiliary data slices. The method involves obtaining de-selection information, de-selecting encoded data slices, error decoding to reproduce the data segment, and outputting the data segment to a computing device. GlobalData’s report on Pure Storage gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Pure Storage grant share with regtech as a theme is 100% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Recovering data from encoded data slices interspersed with auxiliary data (Patent ID: US20230351062A1)
The patent filed by Pure Storage Inc. describes a method for error decoding data slices in a storage network. The method involves obtaining encoded data slices interspersed with auxiliary data slices, de-selecting certain slices based on provided information, error decoding the selected slices to reproduce the original data segment, and outputting the data to a requesting device. The process also includes decrypting encrypted data segments and handling auxiliary data for sequencing and decryption purposes.
Additionally, the patent outlines various claims related to the method, including receiving requests for data segments, error decoding auxiliary data slices, determining operational parameters for error decoding, and identifying different types of auxiliary data that may be included in the encoded slices. The patent also covers the computing device components required to execute the method, such as memory, interfaces, and processing modules. Overall, the patent focuses on efficiently and accurately decoding encoded data slices in a storage network while considering various factors such as encryption, sequencing, and auxiliary data handling.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
