
Vespa
Founded Year
2023Stage
Seed VC | AliveTotal Raised
$31MValuation
$0000Last Raised
$31M | 2 yrs agoMosaic Score The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.
+101 points in the past 30 days
About Vespa
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.
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Vespa's Products & Differentiators
Vespa
Vespa is a platform for applications that combine AI and data online, at any scale: RAG, search, recommendation/personalization, and ad serving. Combine vector/tensor, full-text, and structured data indexing and search with fully integrated local ML model inference, proven av scales to hundreds of billions of documents and hundreds of thousands of queries per second.
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Expert Collections containing Vespa
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
Vespa is included in 1 Expert Collection, including Artificial Intelligence.
Artificial Intelligence
12,627 items
Companies developing artificial intelligence solutions, including cross-industry applications, industry-specific products, and AI infrastructure solutions.
Latest Vespa News
May 1, 2025
Vespa.ai, the platform for large-scale, real-time AI applications powered by big data, today announced the appointment of Harini Gopalakrishnan as General Manager of Health & Life Sciences. Gopalakrishnan, formerly Global CTO for Life Sciences at Snowflake, will spearhead Vespa's strategic initiatives in the sector. Vespa.ai provides the infrastructure to build and deploy AI-driven applications for search and retrieval-augmented generation (RAG), offering precise, real-time access to large language models (LLMs). In Health and Life Sciences, this capability enables teams to search, connect, and extract insight from complex multimodal data, accelerating research, clinical decision-making, and commercial innovation. Harini Gopalakrishnan, GM Health & Life Sciences, Vespa.ai: “AI's success in life sciences depends on unlocking insights across vast data, where one navigates a complex ecosystem of multi-modal data, from omics, protein structures to 3D medical images, from vast scientific literature to internal marketing, regulatory, and compliance documents. Robust agentic RAG applications need sophisticated search engines on your data foundations, optimizing for cost, performance, and quality. Vespa delivers the platform to make this possible, combining high-quality retrieval and ranking across unstructured modalities with enterprise-grade scalability & performance. The future of drug discovery, clinical advancement & commercialization demands these next-generation search capabilities purpose-built for a regulated and scientific industry." Jon Bratseth, CEO and Founder, Vespa. “AI impact depends on understanding the unique challenges of each industry. Vespa is investing in industry-focused strategies to ensure our platform delivers real value in domains like Health & Life Sciences. No other AI platform matches our ability to meet this sector's scale, complexity, and latency demands. Harini brings deep expertise and leadership to help us advance our capabilities and better serve the life sciences community.” About Vespa Vespa.ai is a powerful platform for developing real-time search-based AI applications. Once built, these applications are deployed through Vespa's large-scale, distributed architecture, which efficiently manages data, inference, and logic for applications handling large datasets and high concurrent query rates. Vespa delivers all the building blocks of an AI application, including vector database, hybrid search, retrieval augmented generation (RAG), natural language processing (NLP), machine learning, and support for large language models (LLM) and vision language models (VLM). It is available as a managed service and open source. View source version on businesswire.com: https://www.businesswire.com/news/home/20250430739654/en/ AI's success in life sciences depends on unlocking insights across vast data, where one navigates a complex ecosystem of multi-modal data, from omics, protein structures, to 3D medical images. Contacts Media Contact Tim Young timyoung@vespa.ai
Vespa Frequently Asked Questions (FAQ)
When was Vespa founded?
Vespa was founded in 2023.
Where is Vespa's headquarters?
Vespa's headquarters is located at Trondheim.
What is Vespa's latest funding round?
Vespa's latest funding round is Seed VC.
How much did Vespa raise?
Vespa raised a total of $31M.
Who are the investors of Vespa?
Investors of Vespa include Blossom Capital and Yahoo!.
Who are Vespa's competitors?
Competitors of Vespa include DataStax, Vectara, Qdrant, Pinecone, Weaviate and 7 more.
What products does Vespa offer?
Vespa's products include Vespa.
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Compare Vespa to Competitors

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.

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.
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.
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.
Hyperspace is a technology company that operates in the cloud-native database and search technology sectors. The company offers an elastic compatible search database that integrates vector and lexical search capabilities. Hyperspace serves sectors that require search solutions, such as e-commerce, fraud detection, and recommendation systems. It was founded in 2021 and is based in Tel Aviv, Israel.

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.
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