Any time you have an enterprise-wide need to search, process, or analyze large repositories of text-based information, Lymba Enterprise Solutions can improve efficiency and quickly realize ROI.
Enterprise search is fast becoming mission-critical for companies in the 21st century, playing important roles in solutions as diverse as e-commerce, e-discovery, business intelligence, medical, security, media and entertainment, and information management.
More importantly, enterprise search is enabling the creation of new, game-changing business models, new lines of business, and the realization of more accessible, relevant information at substantially reduced costs.
Enterprise Search solutions combine advanced question answering with ontology building and indexing to ensure a high quality search experience for the knowledge worker that is accurately informed about the current operating environment of the enterprise.
Given a collection of unstructured information (such as documents, spreadsheets, presentations, PDF files, web pages, and more), our question answering system, PowerAnswer™, allows users to pose questions in natural language. PowerAnswer™ will return direct answers and information instead of a list of documents where needed information might be found. Lymba's Enterprise Search solutions address the issue of how to most efficiently get the answers needed in a way that is meaningful to the knowledge workers in the enterprise by combining PowerAnswer™ and Jaguar™ into one solution.
PowerAnswer™ is Lymba's state-of-the-art award winning question answering system that allows enterprise institutions to query their document collections in natural language. It can be used over general content or tailored to a specific domain, such as healthcare, CRM, or Law Enforcement.
Jaguar™ is Lymba's world-class product offering for building ontologies from customer documents. These ontologies are then used to teach PowerAnswer™ about the domain. In the figure above, Jaguar is used at index time to semantically tag the documents with domain knowledge and at the time a question is submitted to add domain knowledge to the user input.