Sophia has unveiled Sophia Search, a new solution that uses a semiotic-based linguistic model to identify intrinsic terms, phrases and relationships within unstructured content so that it can be efficiently recovered, consolidated and leveraged.
The company highlights its software’s ability to deliver a three-dimensional solution to discover, consolidate and optimize enterprise data, regardless of its data type or domain:
Discover. Sophia Search is said to transform the way organizations manage and analyze critical information by discovering the themes and intrinsic relationships behind their information, without any reliance on taxonomies or ontologies, so that more relevant information can be discovered, extracted and leveraged.
Consolidate. By identifying both duplicates and near duplicates, the software allows organizations to effectively consolidate their information thus minimizing storage and management costs.
Optimize. Sophia Search provides partners and organizations with the contextual data that helps them to optimize their information landscape for more accurate search, analytics and compliance.
Sophia Search features a patented Contextual Discovery Engine (CDE) that is based on the linguistic model of semiotics, the science behind how humans understand the meaning of information in context. The CDE platform automatically detects relationships and themes in unstructured content to enable organizations to seamlessly search, extract, deduplicate and eliminate redundancy of content to minimize risk and reduce the cost of retrieving, storing and managing information.
Sophia Search is available now to both customers and partners. Pricing starts at $30,000.