SciBite's semantic entity recognition and extraction engine. Ultra-fast and designed to understand the complexity of scientific text, TERMite identifies key terms in any document in seconds, transforming raw text into machine-readable data.
SciBite are constantly in pursuit of the best talent to compliment our expanding team. If you're interested in working for an innovative, dynamic and high-performing team, please see our vacancies page for more information.
Semantically-Powered Social Collaboration26th April 2016
How do you know what your colleagues sat opposite you are working on? How about those in another office/building/site? More importantly, do you know who would be the expert on any particular topic within your company?
SciBite, A New Pistoia Alliance Member18th April 2016
SciBite are delighted to join the Pistoia Alliance helping to address some of the challenges faced with big data in Global Life Sciences R&D. We look forward to meeting all the attending members at the European Conference starting tomorrow.
Scientific knowledge can be represented as relationships between things. Thousands or millions of such relationships make a knowledge graph or network analysis. SciBite technology enables extraction of these relationships, and in doing so, can uncover knowledge that might otherwise have remained hidden
Sir Tim Berners-Lee, the creator of the Internet, defined a 5-star deployment scheme for open data. In recent customer discussions, we’ve talked about a similar scheme to describe the status of data across their organisation and how text analytics can help contextualise unstructured data.