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Qdrant
Open-source vector database for AI applications
About Qdrant
Qdrant is a tech startup that specializes in providing AI solutions to leading companies. The company's primary offering is a vector database and similarity search engine, which is essentially a tool that allows for the efficient search of high-dimensional vectors, or complex data sets. This technology is particularly useful for engineers who are looking to turn neural network encoders into applications for matching, searching, recommending, and more.
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Qdrant's business model is based on deploying its technology as an API service, which means it provides its software to other businesses for integration into their own systems. This is a popular model in the tech industry as it allows for high scalability and flexibility in terms of cost and resource allocation. The company's technology is developed in Rust language, a programming language known for its performance and safety, particularly in systems programming.
The company's technology is also cloud-native and scales horizontally, meaning it can handle increasing amounts of data without compromising on performance. This makes it an attractive solution for businesses dealing with large amounts of data.
Qdrant's technology can be applied in a variety of ways. For example, it can be used to find similar images, detect duplicates, or even find a picture based on a text description. This makes it a versatile tool for businesses in a range of industries.
In terms of revenue, Qdrant likely makes money by charging businesses for the use of its API service. The exact pricing model is not specified, but it's common for companies in this space to charge based on the amount of data processed or the number of API calls made.
At a glance
- Status
- Operational
- Founded
- 2021
- Headquarters
- Berlin, Germany
- Employees
- 148
- Open positions
- 48
- Dealroom signal
- 92.7/100
- Sector
- AI, Open Source, Core AI, Generative AI, MLops, genAI Operation Layer, Hard Tech, DT and LS
- Technology
- Artificial Intelligence, Deep Tech, Machine Learning, Deep Learning, Natural Language Processing
- Business model
- SaaS
- Client focus
- b2b
Latest news
Press, funding announcements and product moves mentioning Qdrant.
Funding history
Company financing events and reported valuations.
| Deal type | Date | Amount | Valuation | Investors | Source |
|---|---|---|---|---|---|
| SERIES BOther financing | Mar 2026 | $50M | $200M | Spark Capital · Bosch Ventures · Unusual Ventures · 42CAP | ↗ |
| SERIES AOther financing | Jan 2024 | $28M | $113M | Spark Capital · 42CAP · Unusual Ventures | ↗ |
Financials
Revenue, earnings and other financial measures where available. Years marked “E” are estimates.
Growth signals
Latest recorded traffic for Qdrant is 310K monthly website visits, down 3.1% over the last three months. Qdrant's team grew 33.3% over the past year.
Open positions
Similar companies
Company identity and context are open; selected comparison metrics preview what is available on the platform.
| Company | Headquarters | Status | Employees | Total funding | Valuation |
|---|---|---|---|---|---|
 DeepsetAI orchestration framework for building enterprise LLM applications |
Berlin, Germany | Operational | 85 | $46M | $120M |
 WeaviateOpen-source AI-native vector database for developers |
Amsterdam, Netherlands | Operational | |||
 Jina AIAI search foundation for multimodal, multilingual applications |
Berlin, Germany | Acquired | |||
 ChromaAI-native open-source embedding database |
San Francisco, United States | Operational | |||
 Neo4jGraph database and analytics platform for enterprises. |
San Mateo, United States | Operational | |||
 Mithril SecurityOpen-source tools for confidential AI deployment |
Paris, France | Acquired | |||
 PineconeFully managed vector database that makes it easy to add vector search to production applications |
New York City, United States | Operational | |||
 DoublewordEnterprise platform for deploying self-hosted AI models |
London, United Kingdom | Operational |
Investors
From Dealroom's funding and investor records, grouped by the round each investor first entered.
Seed6 investors entered at this stage
42CAP
Michael Brehm
IBB Ventures
Caesar Business Angels
Unusual Ventures
Amr Awadallah
Series A3 investors entered at this stage
Spark Capital
Atlantic Vantage Point
Bosch Ventures
Source: Dealroom Talent Intelligence.
Global footprint
team presence
Market sentiment
An AI-synthesised read of the highest-engagement posts about Qdrant on X, ranked by likes and reposts, corporate channels excluded.
Reading the room on X — pulling top posts and synthesizing themes…
Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour
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