ThoughtSpot had 11 patents in digitalization during Q1 2024. ThoughtSpot Inc’s patents filed in Q1 2024 focus on improving database query resolution, intent-resolution using a phrase index, generating object morphisms during object search, predicting data metric values, and operating a low-latency database analysis system using domain-specific chronometry. These innovations aim to enhance search capabilities, data prediction, and analysis efficiency for users. GlobalData’s report on ThoughtSpot gives a 360-degree view of the company including its patenting strategy. Buy the report here.

ThoughtSpot grant share with digitalization as a theme is 45% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Natural language question answering systems (Patent ID: US20240070204A1)

The patent filed by ThoughtSpot Inc. describes a method and system for identifying context features for a database query associated with a string, selecting an inference record based on these features, modifying the query using the inference record, and invoking a search of a database to obtain results. The method involves comparing context features, such as part-of-speech tags, and selecting the inference record based on a confidence score. Additionally, the system includes a user interface for receiving indications of matching queries and storing patterns based on user interactions.

The system, as described in the patent, utilizes context features to enhance database queries by selecting inference records and modifying queries based on these records. The method involves identifying context features, selecting inference records with confidence scores, and invoking database searches to obtain results. The system also includes a user interface for user interactions, such as indicating matching queries and storing patterns for future reference. Overall, the patent outlines a comprehensive approach to improving database query processes through context analysis and inference record utilization.

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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.