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Everyone has struggled from time to time to find exactly the piece of information they are looking for. We understand that frustration and with the growing amount of digital content (personal, corporate and public) we have developed an AI based search solution that mimics the way the brain works.
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Otopy's technology is built on well-known and well-established n-gram technology. N-grams (which are groups of words in a specific order), while they have been known since the late 1950s, have not been used for broad or large corpus search technology with much success, because, when the word count goes beyond bi-grams (n>2), the number of terms (or n-grams) explodes exponentially, quickly becoming unmanageable.The personal history of Otopy co-founder and co-inventor Dan Kikinis (1956-2019) played a special role in the insight that led to Otopy. He grew up in Switzerland, speaking multiple languages concurrently. From this experience came his insight that machine translation must be done in groups of words or idioms describing concepts, to be more akin to human thinking. Dan came up with a new way of doing this that Otopy calls u-grams. To process n-grams or u-grams successfully, gigabytes to exabytes of memory are necessary. Otopy's u-grams are at the lower end of the range, while n-grams are at the higher end of the range and hence still impractical for the foreseeable future. This large amount of memory is needed because minimum of four or five words, i.e., 4-grams or 5-grams, are necessary for meaningful translation. (Todays hardware is readily available to support up to 16+-grams using Otopy's technology.) Today Dan's legacy lives on in the AI Index Engine Dan invented for Otopy.
Our vision is to Revolutionizing Search with Smart Input and Intelligent Results. We believe smart input is crucial for relevant search results. Otopy's proprietary methodology expands keywords into multiple relevant terms using semantics and linguistic analysis. It offers a range of choices, reducing guesswork and trial-and-error. Otopy's AI-based intelligent search applies to various types of searches, simplifying the process of finding information, documents, emails, songs, TV shows, and more. Our goal is to create a smart initial search step with the Otopy-powered search input box, enabling users to find anything, anywhere.
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Gene Feroglia, a co-founder and seasoned executive, has played a key role in multiple startups. His expertise spans strategic alliances, equity financing, mergers and acquisitions, and innovative sales and marketing strategies. As the President and CEO of iSurfTV Corp, he raised $13 million in venture capital, established partnerships with Motorola and the National Cable Television Cooperative, and eventually sold the company to The Tribune Co. Previously, he served as President of HoTV and EVP of Corporate Development at Carsmart.com, where he orchestrated successful mergers and acquisitions. With a background at IBM and a BS in Business Administration from San Diego State University, Mr. Feroglia is also a graduate of the Harvard Advanced Business Institute
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Dr. Ted Selker is a renowned technology strategist and creator. He has held positions such as director of Considerate Systems research at Carnegie Mellon Silicon Valley, associate professor at the MIT Media Laboratory, and IBM Fellow. Ted's work focuses on prototyping concept products backed by cognitive science research, with a vision of creating more considerate computing systems. He has collaborated with Otopy's Dan Kikinis in developing the AI Index Engine and has made significant contributions to enhancing products like PowerPC, Google Maps, OS/2, and ThinkPad. Ted's accomplishments have earned him numerous awards, patents, and press recognition.
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Peter Hart is an American computer scientist and entrepreneur. He was chairman and president of Ricoh Innovations, which he founded in 1997. He made significant contributions in the field of computer science in a series of widely-cited publications from the years 1967-1980 while associated with the Artificial Intelligence laboratory of SRI International, a laboratory where he also served as director.While at the SRI Artificial Intelligence Center, Hart co-authored 20 papers, among them the initial exposition of the A* search algorithm and the variant of the Hough transform now widely used in computer vision for finding straight line segments in images.