AbsClust
About us
Many organizations find it challenging to meet user expectations for fast and accurate information retrieval, especially as their data archives grow larger. This often leads to wasted time, low usage, and increased user churn. AbsClust is an AI-based discovery system designed to help libraries, archives, and enterprises efficiently search, analyze, and extract information from vast amounts of documents with ease.
Address
Lübecker Str. 3
18055 Rostock
Germany
E-mail: team@absclust.com
Phone: +49 152 3955605
Internet: absclust.com
Contact person:
Andrii Trelin
Co-Founder & COO
E-mail: andrii@absclust.com
Tim Henning
Co-Founder & CTO
E-mail: tim@absclust.com
Products & Services
AbsClust adapts to various use cases with its advanced AI technology, designed to efficiently search, visualize, and extract data. Our discovery system integrates seamlessly with organizational data archives, but it can also be tested with a public database. Some of our key use cases include:
White-labeled discovery system for libraries or public archives to enhance user search experiences, reduce churn, and increase usage.
Discovery system for internal publications, empowering enterprise researchers to find relevant information faster.
Comprehensive search through internal documents to reliably access answers within your company's knowledge base.
AbsClust with public database
AbsClust can be tested with a public database (like Semantic Scholar) to explore its features for scientific literature search. This allows users to experience how our discovery system works and understand its capabilities. The same system can then be adapted to own databases, including publications or any internal documents.