3RDi Search

Search and text mining for organisations with millions of pages

Organisations that hold huge volumes of text are the audience for 3RDi Search, an enterprise search platform also known as 3RDi or Third Eye. Search is paired with text mining and analysis, which lets staff find and act on what their documents contain. The company describes it as a comprehensive stack covering text mining, enterprise search, content integration, governance and analytics, and says it is meant to be a one-stop solution for search and the work around it.

The six capabilities

Natural language processing is used to turn text into knowledge and connect it to linked data. Semantic search makes information easier to find. Search relevancy management lets an administrator change how the search behaves on the fly. Search analytics provide real-time feedback, user insights and trend forecasts. Research tools are intended to make it more than a plain search engine, a system for researchers. Data integration is the faster way the company describes to bring content and knowledge from different sources together.

Built from pluggable parts

The platform is designed as a suite of dynamic components, so an enterprise can choose and customise only the pieces that suit its business. It runs on open-source infrastructure, which the company says gives affordability, speed and collaboration along with flexibility. It is also described as secure and highly available, with a backed-up distributed and cloud environment.

Editions for particular fields

Customers in legal, healthcare and publishing businesses can use ready-made editions that carry domain-specific vocabularies and widgets. The company lists other fields its search is relevant to, including clinical research, law and regulation, ecommerce, banking, manufacturing and education.

The problem it addresses

The company argues that business data is more disorganised and varied than the web data that most search tools were designed for, and that volumes are growing. It publishes articles on topics such as text mining, search analytics, machine learning applications in natural language processing, and the use of search in healthcare, and it describes the product as designed for multidimensional information analysis that helps a business act, raise revenue and cut costs.