This inventor holds 3 USPTO granted patents and 1 published patent application. Top assignee: Lumana Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Ofir Mulla: Inventor in Visual Classification and Multimedia Intelligence
Introduction
Ofir Mulla is an inventor based in Talme Elazar, Israel. His patent work includes machine-learning techniques for classifying object states in visual content and systems for translating natural-language requests into structured database queries. He is associated with Lumana Inc. and holds 3 patents.
Latest Patents
One of Mulla’s latest patents, “Techniques for Classifying Custom Object States in Visual Content,” describes a system and method for training a classifier. A first machine-learning model identifies instances of an object in visual content. Selected examples are then labeled according to the states shown, and a second model is trained to classify those states. This approach builds on object detection to distinguish different conditions or states of an object.
Another patent, “Multimedia Intelligence Agent,” concerns structured querying. The method embeds a natural-language request and compares it with examples that pair natural-language text with database-formatted queries. It uses matching examples to help generate a query, consults a language model, and then queries the database using a structured query based on the model’s outputs.
Career Highlights
Mulla’s disclosed inventions address two practical challenges: interpreting visual information at a more detailed level and making databases accessible through natural-language requests. His work combines machine learning, visual-content analysis, language models, and database query generation.
Collaborations
Mulla is associated with Lumana Inc. His listed coworkers include Aviad Zabatani and Ron Kimmel.
Conclusion
Ofir Mulla’s patent portfolio reflects an inventive focus on applying machine learning and language technologies to visual classification and structured information retrieval.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile