UiPath had 38 patents in digitalization during Q4 2023. UiPath Inc has filed patents related to target-based schema identification and semantic mapping for robotic process automation (RPA), as well as the use of generative artificial intelligence (AI)/machine learning (ML) models to determine sequences of user interactions and generate RPA robots. Additionally, systems and methods for annotating exclusive-or nodes in a process model are also disclosed. GlobalData’s report on UiPath gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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UiPath grant share with digitalization as a theme is 52% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Target-based schema identification and semantic mapping for robotic process automation (Patent ID: US20230419161A1)
The patent by UiPath Inc. discloses a system and method for target-based schema identification and semantic mapping for robotic process automation (RPA). The system involves determining labels and the type of an empty target, such as a web page or a database, and performing semantic matching between the labels of the target and key-value pairs of a source. This process can be executed at design time or runtime, enhancing the efficiency and accuracy of RPA tasks.
The system utilizes computer vision, OCR, and document processing models to identify labels and types of targets, and a semantic matching model trained with words, phrases, and contextual labels to match labels with key-value pairs in the source. The method also involves receiving corrections where semantic matching was incorrect and storing them for retraining the model. By automating the identification of labels and types in targets and matching them with source data, the system streamlines RPA processes, improving overall performance and reducing manual intervention.
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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.
