Dealing with textual data in your solution?

We make building NLP solutions easy with our synthetic texts.

We understand the complexity of building NLP solutions, it is not trivial.

An essential part is having text data for developing and testing.

We provide tailored textual data in areas of

Using real text data is cumbersome. Real world data is noisy, buried in various systems, raw texts are without any meaning nor structure. Real data is due organisation or legislation limitations not accessible or shareable.  It cannot be shared with partners outside an organisation making integrations risky. Real text data needs to be processed and understood.

Synthetic text data has always a clear reason, because it was created in that way. We carefully prepared textual data for many situations from article or document processing, through chatbot conversations to reviews. Synthetic texts are anonymised naturally and it is safe to use them in testing or demos and they can be shared without any limitation. Our synthetic textual data covers major NLP features as named entity recognition (NER), sentiment analysis, summarisation, part-of-sentence (PoS). Evaluation of NLP implementations, testing of integrations or preparing a demo works smoothly with our synthetic textual data.  Every word has its role and sentences their goal in our synthetic texts.