Alexander Yavorskiy

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PhD candidate, Machine Learning Researcher

We've been using Knowledgator's APIs for almost 6 months now with a specific focus on Web2Meaning and zero-shot NER. As a company operating in the biotech market, we find it necessary to stay up-to-date with what's going on in different areas of our interest. And it's a time-consuming thing, indeed.

That's how we found Knowledgator's APIs. By putting in some extra work internally, we've made a beautiful market tracking solution, which already saved us a ton of time. Stay tuned for sure.

Nazar Pavlyuk

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PhD of inorganic chemistry, Ivan Franko Lviv National University, CEO at Lviv Hydrogen

I found their NLP software indispensable for scientific data mining and processing. Its ability to parse and analyze complex chemical terminologies and research literature has the potential to significantly streamline our data extraction process. However, a deeper integration with domain-specific databases would enhance its effectiveness. Overall, it's a promising tool for the scientific community.

Marianna

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Сomputational Chemist

Using your APIs for automated dataset collection from scientific literature has been really beneficial for my work. It saved me countless hours that I previously spent manually sifting through papers. Efficient and a must-have for any researcher in the field.

Alina Frolova

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Junior Research Fellow at the Institute of Molecular Biology and Genetics, Kyiv, Ukraine

I have been working with the Knowledgator team for over 2 years on various research projects. Together we achieved top results on several bioinformatics challenges. I have always been impressed by the ingenuity of the team and their ability to dive deeper into various questions of intelligence and biology, such as the interpretability of ML models or stability on unbalanced datasets that are so important for the analysis of biomedical literature. It was a pleasant journey as a team and I hope we will continue solving mysteries of omics data together.