Our solution is able to search and classify information intelligently. We are working to improve the state of the art on several R&D topics, including semantic search.
We develop proprietary models to address the issues our clients face. Thanks to semantic search algorithms, it is possible to process the query in a vectorial way, to propose advanced results. These models must be multilingual, and meet important scalability requirements.
Detection of interlocutors
By making a query on a topic, the user has an automatic feedback of information with a high level of granularity; but Outmind goes further, in order to take into account all the users' contributions, so as to identify the best contributors on a searched topic (project, customer...).
In addition to providing information on documents (author, date, title...) and highlighting the best contributors according to the query, we wish to make it possible to give a precise answer to a question in natural language. The system must therefore be able to understand the query but also the corresponding response element, within elements of various types; mail, documents, pages...
Outmind develops an intelligent rules system, based on artificial intelligence, which automatically labels and categorises items. The aim is to classify large volumes of data without requiring manual action.
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