Having created a lot of documents doesn't mean that you will find the relevant answer to your question. If you search for something you have written, but with a different wording, you won't find it. Analogy helps you to transcend the obstacle of searching by characters and leads you to search by meaning.

 

PROBLEMS WE MET AND ARE EAGER TO SOLVE 

 

• An insurance company has challenges in customer service, because operators have hard time to find the right documents among many to answer a specific query from a client.

• At an audit and tax consultancy the specialists spend way too much of their time looking for and providing answers for questions from customers and colleagues alike.  

 

 

THE TOUCH OF CUTTING EDGE IN EVERYDAY LIFE

 

Our solution allows you to search in documents based on an internal, continuously evolving map of concepts. Users develop the map as a side-effect of their daily interactions with the system. The continuous improvement of the graph behind the knowledge improves the search results and creates an internal knowledge base.

 

On the practical level your people teach our engine to better understand the meaning of texts by answering simple questions. The questions are generated by thinking about the existing knowledge graph created by the same engine. As it constantly improves by time, it results in an AI, which helps you interpret complex questions, find the right abstractions and give you pieces of information that suits your question the best.

 

 

 

WHERE CAN BE THIS PRODUCT USEFUL? 

 

Related solutions:

• Dealing with large textual data sets

• Better browsing experience in the intranet

• Unifying incompatible databases and making them easily searchable 

 

You will see the results in the following:

• Increasing efficiency of the knowledge workers;

• Creation of community-driven data interpretation;

• Easier search in a unified platform on several databases;

• Getting to the relevant paragraphs faster.