This inventor holds 7 USPTO granted patents and 1 published patent application. Top assignees: Salesforce, Inc., Diffeo, Inc., Salesforce Com, Inc.. Active years: 2016-2025.
Company Filing History:
3 out of 1,696 
2 out of 2 
2 out of 3,145 
Years Active: 2016-2025
Title: Max Kleiman-Weiner: Innovator in Knowledge Systems
Introduction
Max Kleiman-Weiner is a prominent inventor based in Cambridge, MA (US). He holds a total of 7 patents that showcase his innovative contributions to the field of knowledge systems and entity relationship investigations. His work has significantly impacted how users interact with data and understand relationships among various entities.
Latest Patents
Among his latest patents is a system and method for investigating relationships among entities. This invention identifies connections between two different entities by processing a collection of documents that contain co-occurring mentions of each entity. The relationships can be graphically displayed in a user interface, allowing users to interact with the data effectively. Another notable patent is the knowledge operating system, which persistently stores a collection of user and machine interactions with documents and concepts. This system enables both human and computer users to engage with the information, facilitating discovery and organization around topics of interest.
Career Highlights
Max has worked with several notable companies, including Salesforce, Inc. and Diffeo, Inc. His experience in these organizations has allowed him to refine his skills and contribute to significant advancements in knowledge management and data interaction.
Collaborations
Some of his coworkers include Daniel Adam Roberts and John Randolph Frank. Their collaboration has likely fostered an environment of innovation and creativity, leading to the development of impactful technologies.
Conclusion
Max Kleiman-Weiner's contributions to the field of knowledge systems and entity relationships demonstrate his commitment to innovation. His patents reflect a deep understanding of user interaction with data, paving the way for future advancements in this area.