Weaviate
Founded Year
2019Stage
Series B | AliveTotal Raised
$67.6MValuation
$0000Last Raised
$50M | 3 yrs agoMosaic Score The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.
-80 points in the past 30 days
About Weaviate
Weaviate is a company that develops artificial intelligence (AI)-native databases within the technology sector. The company provides a cloud-native, open-source vector database to support AI applications. Weaviate's offerings include vector similarity search, hybrid search, and tools for retrieval-augmented generation and feedback loops. Weaviate was formerly known as SeMi Technologies. It was founded in 2019 and is based in Amsterdam, Netherlands.
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ESPs containing Weaviate
The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.
The vector databases market focuses on providing databases optimized for high-dimensional, vector-based data. These databases efficiently store, manage, and query large volumes of vectors (i.e., mathematical representations of data points in multidimensional space). Vector databases cater to a wide range of applications, including machine learning, natural language processing, recommendation syste…
Weaviate named as Outperformer among 9 other companies, including Oracle, Elastic, and Pinecone.
Weaviate's Products & Differentiators
Weaviate Vector Database / Weaviate Cloud
Weaviate is an open-source vector database that simplifies the development of AI applications. Built-in vector and hybrid search, easy-to-connect machine learning models, and a focus on data privacy enable developers of all levels to build, iterate, and scale AI capabilities faster. Our vector database can be run as a hosted cloud offering or self-hosted OSS deployment.
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Research containing Weaviate
Get data-driven expert analysis from the CB Insights Intelligence Unit.
CB Insights Intelligence Analysts have mentioned Weaviate in 6 CB Insights research briefs, most recently on Sep 5, 2025.
Sep 5, 2025 report
Book of Scouting Reports: The AI Agent Tech Stack
Oct 13, 2023
The open-source AI development market map
Expert Collections containing Weaviate
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
Weaviate is included in 4 Expert Collections, including Artificial Intelligence (AI).
Artificial Intelligence (AI)
16,627 items
Companies developing artificial intelligence solutions, including cross-industry applications, industry-specific products, and AI infrastructure solutions.
AI 100 (All Winners 2018-2025)
100 items
Generative AI 50
50 items
CB Insights' list of the 50 most promising private generative AI companies across the globe.
Generative AI
2,951 items
Companies working on generative AI applications and infrastructure.
Latest Weaviate News
Oct 3, 2025
OpenAI generates embeddings ($0.02/1M tokens), Pinecone offers managed vector storage ($50+/month), and Weaviate provides open-source flexibility with hybrid search ($25+/month). Choose Pinecone for zero-ops simplicity, Weaviate for GraphQL APIs and on-premise deployment. Both handle billion-scale vectors with sub-100ms latency. Common pitfalls: poor chunking strategy, mixing embedding models, and ignoring rate limits during initial indexing.
Weaviate Frequently Asked Questions (FAQ)
When was Weaviate founded?
Weaviate was founded in 2019.
Where is Weaviate's headquarters?
Weaviate's headquarters is located at Prinsengracht 769A, Amsterdam.
What is Weaviate's latest funding round?
Weaviate's latest funding round is Series B.
How much did Weaviate raise?
Weaviate raised a total of $67.6M.
Who are the investors of Weaviate?
Investors of Weaviate include NEA, Zetta Venture Partners, ING Ventures, Cortical Ventures, Battery Ventures and 10 more.
Who are Weaviate's competitors?
Competitors of Weaviate include LanceDB, Crunchy Data, DataStax, Vectara, Activeloop and 7 more.
What products does Weaviate offer?
Weaviate's products include Weaviate Vector Database / Weaviate Cloud and 2 more.
Who are Weaviate's customers?
Customers of Weaviate include Morningstar and StackAI.
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Compare Weaviate to Competitors
Pinecone specializes in vector databases for artificial intelligence applications within the technology sector. The company offers a serverless vector database that enables low-latency search and management of vector embeddings for a variety of AI-driven applications. Pinecone's solutions cater to businesses that require scalable and efficient data retrieval capabilities for applications such as recommendation systems, anomaly detection, and semantic search. Pinecone was formerly known as HyperCube. It was founded in 2019 and is based in New York, New York.
Vespa specializes in data processing and search solutions within the AI and big data sectors. The company offers an open-source search engine and vector database that enables querying, organizing, and inferring over large-scale structured, text, and vector data with low latency. Vespa primarily serves sectors that require scalable search solutions, personalized recommendation systems, and semi-structured data navigation, such as e-commerce and online services. It was founded in 2023 and is based in Trondheim, Norway.
ApertureData operates within the data management infrastructure domains. The company's offerings include a database for multimodal AI that integrates vector search and knowledge graph capabilities for AI application development and data management. ApertureData serves sectors that require AI applications, including generative AI, recommendation systems, and visual data analytics. It was founded in 2018 and is based in Los Gatos, California.
Milvus is an open-source vector database designed for GenAI applications within the technology sector. The database supports searches and can handle large volumes of vectors, suitable for machine learning and deep learning tasks. Milvus serves sectors that require data retrieval and management solutions, such as artificial intelligence and machine learning industries. It was founded in 2019 and is based in Redwood City, California.
Qdrant focuses on providing vector similarity search technology, operating in the artificial intelligence and database sectors. The company offers a vector database and vector search engine, which deploys as an API service to provide a search for the nearest high-dimensional vectors. Its technology allows embeddings or neural network encoders to be turned into applications for matching, searching, recommending, and more. Qdrant primarily serves the artificial intelligence applications industry. It was founded in 2021 and is based in Berlin, Germany.
Turbopuffer is a company that specializes in providing serverless vector database solutions in the technology sector. The company's main service is a vector database built on top of object storage, offering cost-effective, usage-based pricing and scalability. The primary sectors that Turbopuffer caters to include the technology and data storage industries.
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