Cortical.io offers Natural Language Understanding (NLU) solutions based on Semantic Folding, a theory which opens a fundamentally new perspective to handling Big Text Data.
Inspired by the latest findings on the way the brain processes information, Cortical.io’s Retina Engine converts language into semantic fingerprints, a numerical representation that captures meaning explicitly and operates on it computationally. The Retina Engine compares the semantic relatedness of any two texts by measuring the overlap of their fingerprints. It can be easily customized for any language, domain or jargon and delivers results quickly, at low costs.
The intrinsic difference of Cortical.io’s algorithm makes it possible to solve many open NLU challenges like meaning-based filtering of terabytes of unstructured text data, real-time topic detection in social media or semantic search over millions of documents across languages.
The company was founded in 2011 and holds a broad general license for Numenta’s HTM technology. Cortical.io has offices in Vienna, Austria, New York and the San Francisco Bay Area.
Francisco’s interest in information technology developed during his medical studies, when he was involved in medical data processing. Over two decades he explored search engine technologies and documentation systems in different contexts but became increasingly frustrated with the limitations of statistical methods. In 2005 he founded Matrixware Information Services, which developed the first globally standardized patent database. In 2007 he set up the Information Retrieval Facility, a non-profit research institute that bridged the gap between academia and industry in the field of information retrieval. Francisco recognized that the brain was the only high-performing system when it came to natural language understanding. While closely following developments in neuroscience, he formulated his theory of Semantic Folding, which models how the brain processes language data. In 2011, he co-founded Cortical.io to apply the principles of cerebral processing to machine learning and text processing and solve real-world use cases related to big data.
Daniel has many years of experience as managing director in different IT-services and media companies. He was last CFO of Matrixware Information Services and treasurer of the Information Retrieval Facility. In his early years, he founded and managed two trading companies, put in place a European distribution network and introduced marketing and logistics structures for the products of an American company.
Hans-Peter has over twenty years of experience in high-tech sales and business development worldwide. Originally from Germany, he graduated with a BS in electrical engineering and computer science from the UC Berkeley. Thereafter he spent several years as a hardware and software engineer. He then moved to the business side, where he rose to VP of Sales and Business Development in a number of hardware and software start-ups in the Silicon Valley.
Erik has over 12 years’ R&D experience in the fields of natural language processing and information retrieval in multinational companies and startups. His passion lies in the development of scalable artificial-intelligence and machine-learning solutions for real-world problems. Erik obtained his PhD at the University of Glasgow, exploring information retrieval based on human information processing. His general research interest lies at the intersection of cognitive science, IR, and NLP. He has worked or collaborated with several academic and industry research groups, including the HP Information Dynamics Lab, IBM Labs, the Glasgow IR Group, and the Sheffield NLP Research Group. At Cortical.io, he has been responsible for the development of successful commercial NLP solutions for large enterprises. These include the Cortical.io Retina, which enables semantic searching of big text data, and the Cortical.io Contract Intelligence Engine, which automates extraction of key information from large volumes of legal documents.
Jeff Hawkins, one of the founders of Numenta, is an essential source of inspiration for our work.
We are active members of the NuPIC (Numenta Platform for Intelligent Computing) community, an open-source project
that makes the Hierarchical Temporal Memory (HTM) available to software developers. HTM is an online learning
system modeled on how the neocortex performs tasks such as visual pattern recognition and understanding spoken
language. Unlike traditional computer systems, it does not require conventional training and testing of data
sets. Like the brain, the HTM uses SDRs to store information.
In May 2015, we entered a strategic partnership with Numenta, that grants us a broad general license to the HTM technology. Combined with our Semantic folding technology, it will enable us to apply our approach to applications like sentiment analysis, automatic summarization, semantic search, and conversational dialogue systems. Read the press release.