Make sense of large amounts of data

Content classification

Analyze the text, detecting topics, sentiments, intents, urgency and more.

The problem

There is a vast amount of data that can be used to support an organization's decisions. This data can be internal, from years of data collection, or external, produced by users, public organizations and other businesses. Mannually sorting it or trying to understand it is no longer an option. Thanks to machine learning techniques we are able to extract information, pinpoint to the important topics and concepts.

All Devices

Our Tools

Text classifier

Given a text and a taxonomy / classification scheme, classify every document and assign a type according to the taxonomy/scheme.

Supervised | Unsupervised

Some of our solutions

Innovation Extraction

Given a text and an innovation taxonomy (optional), segment the text into sections and classify every sentence – if it conveys an innovation statement and what type of innovation

Domain agnostic (Biomedical, Computer Science, etc.)

Topics in rare diseases research

Analyse scientific publications in the health domain and identify topics in rare diseases.

Domain agnostic (Biomedical, Computer Science, etc.)

Innovation Extraction

Given a text and an innovation taxonomy (optional), segment the text into sections and classify every sentence – if it conveys an innovation statement and what type of innovation

Domain agnostic (Biomedical, Computer Science, etc.)

Identify topics for rare diseases

Analyse scientific publications in the health domain and identify topics in rare diseases.

Biomedical

12€

Standard Licence

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