Palantir Technologies has patented a method for managing queries by providing computation modules associated with different types and trust levels. The method involves identifying module types, evaluating trust levels, and routing queries to appropriate modules based on user trust levels. This system enhances query processing efficiency and security. GlobalData’s report on Palantir Technologies gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Palantir Technologies, Social media analytics was a key innovation area identified from patents. Palantir Technologies's grant share as of May 2024 was 43%. Grant share is based on the ratio of number of grants to total number of patents.
Query management system for computation modules based on trust levels
A recently granted patent (Publication Number: US12013848B2) outlines a method for managing queries using a group of computation modules associated with module types and trust levels. The method involves receiving queries from client applications, identifying computation module types corresponding to each query, evaluating trust levels, and selecting computation modules based on type and trust level. The queries are then routed to the selected modules for processing. Notably, the method includes removing modules assigned to a different user if a query is deemed low trust for a specific user, enhancing security and efficiency in query processing.
Furthermore, the patent details additional features such as selecting computation modules based on high trust levels, filtering out modules not meeting trust level criteria, determining query scores for module selection, scaling module numbers based on type, and checking code reliability. The system described in the patent includes processors executing instructions to manage computation modules, receive queries, identify types, evaluate trust levels, and route queries accordingly. Additionally, the system provides an API for interfacing with client applications and producing configuration data for module group management. Overall, the patented method and system offer a comprehensive approach to query management, emphasizing trust levels, module types, and efficient routing for processing operations, enhancing the overall performance and security of query processing systems.
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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.
