AI HTML Denoising System and Method for Website Application Interactions
Summary
USPTO published patent application US20260099717A1 by inventors David Colwell, Marius Viktor, Mark Bugno, Venkata Bommireddipalli, and Michael Keeley. The application covers systems and methods for denoising HTML components of website applications using a trained generative AI service comprising at least one multimodal machine learning model and one large language model, to identify website elements and execute tasks automatically. Filing date was October 4, 2024, with application number 18907025.
What changed
USPTO published a patent application for an AI system designed to denoise HTML components of website applications and execute automated tasks. The system uses trained generative AI services including multimodal machine learning models and large language models to identify HTML components, generate website application structures, and locate target elements for executing a series of steps.
Technology companies developing AI-powered web automation, testing tools, or website interaction systems should note this filing. While the application does not create immediate compliance obligations, it establishes intellectual property claims in the AI-website interaction space that may be relevant to Freedom-to-Operate analyses for companies building similar functionality.
Archived snapshot
Apr 21, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
SYSTEM AND METHOD FOR AUTONOMOUS WEBSITE APPLICATION INTERACTIONS USING HTML COMPONENT DENOISING
Application US20260099717A1 Kind: A1 Apr 09, 2026
Inventors
David COLWELL, Marius VIKTOR, Mark BUGNO, Venkata BOMMIREDDIPALLI, Michael KEELEY
Abstract
Systems adapted to denoise HTML components of a website application and execute a task, using a trained generative artificial intelligence (AI) service comprising at least one trained multimodal machine learning model and at least one trained large language model (LLM), include receiving a request associated with executing the task using the website application, wherein executing the task comprises executing a series of steps; wherein executing the series of steps comprises identifying and using one or more target website application elements corresponding with the series of steps; processing, via the model, the website application to identify a plurality of HTML components of the website application; generating, via the model, a website application structure using the identified plurality of HTML components; and executing the task using the generated website application structure to execute the series of steps by identifying and using the one or more target website application elements.
CPC Classifications
G06N 3/0895
Filing Date
2024-10-04
Application No.
18907025
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