ManyWorlds has been awarded nearly 50 patents, with many more pending, in the field of adaptive/machine learning-based systems, including areas such as networks that auto-modify based on usage behaviors, inferential-based people matching, expertise discovery based on behavioral inferencing and content analysis, auto-learning systems capable of explaining their actions, and capabilities for generating beneficial serendipity in recommender systems.
These inventions are core to many of the fundamental aspects of contemporary machine learning-based systems and have already yielded significant value, with the bulk of the portfolio still available for monetization. We would be pleased to have the opportunity to discuss how our patented inventions can deliver value to your organization, as they are currently doing for organizations such as Uber Technologies, Inc.
