Open-source vector search engine for AI
Be an early applicant
Open-source vector search engine for AI
21-100 employees
Be an early applicant
21-100 employees
Qdrant's mission is to empower businesses to build and deploy semantic neural search on your data in minutes.
In many cases, documents may have too few keywords, or queries might be too large for the usual full-text search to provide the desired result. In such cases, the search either finds no intersections or returns a lot of irrelevant results. Qdrant is setting out to solve this problem with a neural network-based semantic search which can be used stand-alone or in conjunction with traditional search.
Qdrant utilizes applied AI and metric learning to provide users with an open-source neural search engine. This engine has proven popular with businesses looking to turn their unstructured data into an asset. The possible applications of this technology greatly vary, from product recommendations in e-commerce to image recognition and analysis of anomalies.
The trust and capital that leading investors have placed in Qdrant will allow it to develop and scale its technology further, with a focus on enterprise solutions. This will be invaluable to the company in continuing to innovate and increase their consumer base.
Freddie
Company Specialist at Welcome to the Jungle
Few candidates hear
back within 2 weeks
Jan 2024
$26.8m
SERIES A
Apr 2023
$7.8m
SEED
Prenzlauer Berg, Berlin, BE
Andre Zayarni
(CEO)Previously created JobBot-me, and served as CPO and CTO of MoBerries GmbH.
Andrey Vasnetsov
(CTO)Previously worked as a Machine Learning Engineer as Tinkoff.ru, and was Lead Data Scientist at MoBerries.
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