UiPath had 14 patents in artificial intelligence during Q1 2024. UiPath Inc has filed patents for innovative technologies in robotic process automation (RPA) including AI-based process extraction, human-in-the-loop robot training, dynamic updating of AI/ML models, probabilistic models in deterministic workflows, and intent-based automation for discovering automatable tasks and determining task variants in data. These technologies aim to enhance the efficiency and accuracy of RPA processes by leveraging artificial intelligence and machine learning capabilities. GlobalData’s report on UiPath gives a 360-degree view of the company including its patenting strategy. Buy the report here.

UiPath grant share with artificial intelligence as a theme is 35% 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 may 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 for multiple AI models may be required to generate an RPA workflow. The patent also covers the storage of computer programs on non-transitory media for AI-based process extraction and the configuration of computing systems to execute these programs, emphasizing the use of AI models to enhance the efficiency and accuracy of RPA workflows in various applications.

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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.