New Exciting Tools to Manage Data Research & Information Analysis for Researchers and Others

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Hello,

We are proud to announce the MVP version of a Text2Knowledge [web edition]. According to our Co-founder & Chief Business Development Officer Valerii Vasilevskyi, “Text2Knowledge by Knowledgator is more than a reading or text analyzing tool.” The feature is expected to completely improve how researchers and information analysts approach textual data processing.

The tool boasts impressive features that allow users to extract knowledge from uploaded texts, documents, and web pages.

This T2K edition has been intelligently trained to detect all business entities, provide their descriptions and reveal textual and semantic relationships between them.?

For the last 1.5 months, our team at Knowledgator Engineering has implemented this minimal viable vision to demonstrate the transformative power of Text2Knowledge in research and information discovery.

Today, we are motivated to apply this idea to the reality of our target audience [science researchers, data scientists, data analysts, bioinformaticians, information analysts, and others]. We are gathering valuable feedback that will help us run a Minimal Marketable Product that will be publicly accessible to anyone.

Here’s why you matter:

We have been vocal about our mission of creating tools to advance research and knowledge management in the life sciences and other industries.?

Do you have experience analyzing business or scientific biomedical information(such as articles, news, clinical trials, patents, blogs, etc.)? We would be very pleased to have a 30-minute user experience session with you to run a structured usability test. It will allow us to extract significant feedback and also help you discover a potential tool for your tasks.?

Love to put your own brick in this great product?

Your feedback is key. To book a meeting for our Text2Knowledge MVP usability test - Click here.

We would be very grateful if you share this post with anyone who might be interested in this solution.

For more information about the Text2Knowledge itself - Click here.