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, 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 with growing frustration about the limitations of statistical methods. As a first attempt to overcome these limitations, Francisco founded Matrixware Information Services, a company that developed the first standardized patent database, and the Information Retrieval Facility, a non-profit research institute with the objective of bridging the gap between academia and industry. Following the developments in the field of neuroscience, Francisco realized that the brain is the only performing Natural Language Understanding system and decided to apply the principles of cortical processing to text processing. The Semantic Folding theory was born.
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 more than 12 years of experience in R&D in the fields of NLP and academic information retrieval, both within industrial and startup contexts. After his PhD with Prof. Keith van Rijsbergen in Glasgow, he worked at and collaborated with IBM Research Labs, HP Information Dynamics Lab and various top research groups (Glasgow IR, Sheffield NLP). Erik’s focus lies in research on cognitive processing in the context of Information Retrieval and NLP.
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.