UiPath had 18 patents in digitalization during Q1 2024. UiPath Inc’s patents in Q1 2024 focus on innovative approaches to robotic process automation (RPA) using artificial intelligence (AI). 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, visualization of process maps, and pre-authorized access to RPA resources. These technologies aim to enhance efficiency and flexibility in RPA implementation. 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 digitalization 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). The method involves running data through AI models to identify RPA processes that exceed a confidence threshold and generating RPA workflows based on the identified processes. The AI models may include various layers such as sequence extraction, clustering detection, visual component detection, text recognition, and audio-to-text translation, which can be used individually or collectively to suggest RPA workflows. Additionally, the method includes generating automations for RPA robots to implement the generated workflows and replacing existing RPA processes with more optimal ones based on similarity and performance metrics.

Furthermore, the patent also covers non-transitory computer-readable media storing programs that run data through AI models to identify RPA processes and generate corresponding workflows. These programs can also create automations for executing the workflows and facilitate the replacement of less optimal existing RPA processes with more efficient ones. The method allows for the use of a combination of AI models in series, parallel, or a mix of both to analyze data and improve the efficiency of RPA processes. Overall, the invention aims to leverage AI technology to enhance the automation of processes by identifying patterns and suggesting optimized workflows for 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.