# Qdrant's 2023 Seed Round

DevFeed: [Qdrant's 2023 Seed Round](<https://devfeed.tech/articles/qdrant-s-2023-seed-round-65208.md>)

Original publisher: [Read original article](<https://qdrant.tech/blog/seed-round/>)

Author: info@qdrant.tech (Andrey Vasnetsov)

Published: 2023-04-19T00:42:00Z

Content type: news

Language: en

Sources: [Qdrant Blog on Qdrant - Vector Search Engine](<https://devfeed.tech/sources/qdrant-blog-on-qdrant-vector-search-engine.md>)

Topics: [Qdrant](<https://devfeed.tech/topics/qdrant.md>), [Embeddings](<https://devfeed.tech/topics/embeddings.md>), [CI/CD](<https://devfeed.tech/topics/cicd.md>), [synthetic-data](<https://devfeed.tech/topics/synthetic-data.md>)

Tags: [2023](<https://devfeed.tech/tags/2023.md>), [announcement](<https://devfeed.tech/tags/announcement.md>), [approximate-nearest-neighbor-search](<https://devfeed.tech/tags/approximate-nearest-neighbor-search.md>), [bert](<https://devfeed.tech/tags/bert.md>), [embeddings](<https://devfeed.tech/tags/embeddings.md>), [existing](<https://devfeed.tech/tags/existing.md>), [fasttext](<https://devfeed.tech/tags/fasttext.md>), [funding](<https://devfeed.tech/tags/funding.md>), [hnsw](<https://devfeed.tech/tags/hnsw.md>), [image-search](<https://devfeed.tech/tags/image-search.md>), [knn-algorithm](<https://devfeed.tech/tags/knn-algorithm.md>), [matching](<https://devfeed.tech/tags/matching.md>), [neural-network](<https://devfeed.tech/tags/neural-network.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [qdrant](<https://devfeed.tech/tags/qdrant.md>), [recommender-system](<https://devfeed.tech/tags/recommender-system.md>), [saas](<https://devfeed.tech/tags/saas.md>), [seed-round](<https://devfeed.tech/tags/seed-round.md>), [simaes-networks](<https://devfeed.tech/tags/simaes-networks.md>), [similarity](<https://devfeed.tech/tags/similarity.md>), [transformer](<https://devfeed.tech/tags/transformer.md>), [vector-search](<https://devfeed.tech/tags/vector-search.md>), [vector-search-engine](<https://devfeed.tech/tags/vector-search-engine.md>), [vectors](<https://devfeed.tech/tags/vectors.md>), [word2vec](<https://devfeed.tech/tags/word2vec.md>)

## AI overview

Qdrant announced a $7.5 million seed round led by Unusual Ventures to support its open-source vector search engine and infrastructure for applications using unstructured data. The post describes Qdrant's product goals and its 2023 plans, including cloud and managed deployments, quantization, and distributed search.

## Source excerpt

Editor's note: This 2023 post was edited for length and clarity. Read the original version. This is Qdrant's April 2023 seed-round announcement. It records our plans and perspective at the time. We raised $7.5M in seed funding led by Unusual Ventures, with angels and existing investors participating. The funding supported our work on open-source vector search and the infrastructure engineers need to build applications with unstructured data. Why We Built Qdrant Text, images, audio, and other unstructured data are difficult to search through exact matches alone. Neural network models represent these objects as vectors, so applications can retrieve items by similarity.