UiPath had 21 patents in future of work during Q1 2024. UiPath Inc’s patents in Q1 2024 focus on enhancing robotic process automation (RPA) through artificial intelligence (AI) technologies. These patents include AI-based process extraction for generating RPA workflows, human-in-the-loop robot training for personalized user experiences, dynamic updating of AI/ML models during production operations, pre-authorized access control for RPA resources, and the integration of probabilistic models into deterministic RPA workflows for increased flexibility and monitoring capabilities. GlobalData’s report on UiPath gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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UiPath grant share with future of work as a theme is 38% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Artificial intelligence layer-based process extraction for robotic process automation (Patent ID: US20240104381A1)
The patent filed by UiPath Inc. discloses a computer-implemented method for AI-based process extraction for robotic process automation (RPA) using AI models to analyze data and identify RPA processes that exceed a confidence threshold. The method involves generating RPA workflows and automations based on the identified processes, with the AI models including various layers such as sequence extraction, clustering detection, visual component detection, text recognition, and audio-to-text translation. The AI models may operate individually or collectively to suggest RPA workflows, and statistical modeling and deep learning techniques are utilized to enhance accuracy.
Furthermore, the patent describes the identification of existing RPA processes that can be replaced with more optimal processes identified through the AI-based extraction method. Similarity between processes is determined using entropy or process detection objective functions, and a collective confidence threshold must be exceeded for the generation of RPA workflows. The method can be implemented through non-transitory computer-readable media storing computer programs or computing systems with memory and processors executing the instructions. Overall, the patent outlines a comprehensive approach to leveraging AI for RPA process extraction, workflow generation, and automation improvement, enhancing efficiency and accuracy in RPA implementation.
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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.
