Qdrant logo — Composable high-performance vector search

Qdrant

Composable high-performance vector search

Founded 2021 Germany Berlin, Germany 152 employees Series B Total: $85.20M AI, Big Data +3

General Information

Company Name Qdrant
Founded Year 2021
Location Germany Berlin, Germany +2
Employees 152
Industries AI, Big Data, Cloud Infrastructure +2
Funding Stage Series B
Social

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Recorded by Bounce Watch from public sources. Every entry below carries the date we observed it, and when we have not looked recently the page says so rather than leaving silence to imply nothing happened.

Growth Metrics Sep 02, 2026

Qdrant's previous 1M OpenAI embeddings dataset still receives ~2K downloads/month, demonstrating continued engagement.

New Partnership Sep 01, 2026

Qdrant announced a partnership with Vultr, who provided compute resources for building a large new vector search benchmark dataset.

Product Launch Sep 01, 2026

Qdrant has launched a new suite of open-source benchmarking tools and datasets, including Qdrant-FineWeb-10B, PubMed-Multi-Vector, Coyo-Vector-Embeddings, and the Supernova framework.

Feature Release Aug 31, 2026

Qdrant has launched DBSF (Distribution-Based Fusion method), a new approach for hybrid search that keeps the actual score gap, outperforming RRF on multiple datasets.

Event Participation Aug 31, 2026

Qdrant is hosting a free virtual stream named Vector Space Stream on September 17, where Qdrant Engineers will share their latest research.

Market Expansion Aug 20, 2026

Qdrant is expanding its operations by hiring a new Business Development Specialist in Spain.

+2 more signals in last 30 days

About Qdrant

Qdrant, founded in 2021, is playing a pivotal role in the advancement of AI applications with its Composable high-performance vector search technology. This Germany-based company focuses on an open-source vector search engine optimized for high-performance and high-dimensional vector similarity search.

The platform is designed to transform embeddings and neural network encoders into comprehensive applications capable of matching, searching, and recommending, among other functionalities. This positions Qdrant at the forefront of utilizing unstructured data, catering predominantly to industries like AI, Big Data, Cloud Infrastructure, IT, and Social Media.

The company secured a substantial $50.00M Series B investment on 01 March 2026. Esteemed investors include Spark Capital, Robert Bosch Venture Capital, Unusual Ventures, 42CAP, and Atlantic Vantage Point, underlining significant confidence in Qdrant's potential to shape the future of AI-driven solutions.

Taxonomy: Composable High-Performance Vector Search, Vector Database, Rust Programming, Open-Source Technologies, API Service, High-Dimensional Vector Search, Embeddings, Neural Network Encoders, Vector Similarity Search, AI Applications, Recommendation Systems, Unstructured Data, Managed Cloud Solution, Deep Tech

Services & Products

Qdrant Vector Database
Qdrant Cloud
Qdrant Hybrid Cloud
Qdrant Enterprise Solutions
Qdrant Cloud Inference
Qdrant Edge (Beta)

Target Customers

Developers E-commerce Companies Legal Tech Firms Healthcare Tech Companies HR Tech Firms Hospitality & Travel Industry

Funding Rounds & Investors (4)

View All
Funding Stage Amount Investors Lead Investors Date
Series B •••••• 5
Investor Investor Investor Investor
•••• ••••
01 Mar 2026
Series A •••••• 3
Investor Investor Investor
01 Jan 2024
Seed •••••• 4
Investor Investor Investor
•••• ••••
01 Apr 2023
Seed •••••• 4
Investor Investor Investor
•••• ••••
01 Jan 2022

Qdrant Alternatives & Competitors

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FAQ About Qdrant

Composable high-performance vector search
Qdrant was founded in 2021.
Qdrant is headquartered in Berlin, Germany.
Qdrant operates in the following industries: AI, Big Data, Cloud Infrastructure, IT, Social Media.
Qdrant has approximately 152 employees.
Qdrant has completed 4 funding rounds, raising a total of $85.20M. The latest funding stage is Series B.
Qdrant offers: Qdrant Vector Database, Qdrant Cloud, Qdrant Hybrid Cloud, Qdrant Enterprise Solutions, Qdrant Cloud Inference, Qdrant Edge (Beta).
Top alternatives and competitors to Qdrant include Qdrant, SuperDuperDB, ApertureData, Hyperspace, Weaviate. These companies operate in related industries and serve comparable markets. You can compare them side by side on Bounce Watch.
Qdrant and Qdrant are both companies in similar industries. Compare their funding, team size, growth signals, and market position on Bounce Watch to see which one fits your needs.

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