Founded Year

2023

Stage

Seed VC | Alive

Total Raised

$31M

Valuation

$0000 

Last Raised

$31M | 2 yrs ago

Revenue

$0000 

Mosaic Score
The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.

-95 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.

Headquarters Location

Trondheim,

Norway

Loading...

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.

Loading...

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 (AI).

A

Artificial Intelligence (AI)

16,627 items

Companies developing artificial intelligence solutions, including cross-industry applications, industry-specific products, and AI infrastructure solutions.

Latest Vespa News

Lead Security Software Engineer | Vespa.ai

Oct 1, 2025

You'll work directly with enterprise prospects in the Bay Area, translating their complex technical requirements into compelling Vespa solutions that drive adoption and growth. Position Overview: As the Lead Security Software Engineer at Vespa.ai, you will be critical in ensuring the security of our products, infrastructure, and data. You will be a security champion within our engineering team, driving the implementation of secure coding practices and leading security initiatives. You will be a hands-on developer, contributing to our codebase while also providing guidance and mentorship to other engineers on security best practices. This role reports directly to the CTO and offers a unique opportunity to shape the security strategy of a growing company. As the Lead Security Software Engineer at Vespa.ai, you will collaborate with cross-functional teams to design, implement, and maintain robust infrastructure solutions and features that meet our high availability requirements. An ideal candidate dislikes doing things twice and instead automates using Java or scripts, with proper monitoring, such as creating alerts, badges, and dashboards. The responsibilities of this position include: Develop and maintain secure software using Java, GoLang, and other relevant technologies. Stay up-to-date on the latest security threats and vulnerabilities. Collaborate on threat modeling, risk assessments, and secure architecture. Oversee security tools (e.g., static analysis, vulnerability scans) and workflows. Coordinate regular security assessments, code reviews, and penetration testing with our security technology partners. Identify and mitigate security vulnerabilities in our products and infrastructure. Define, implement, and champion security best practices, training, and guidelines across teams. Collaborate with the CTO to define and implement the company's security strategy. Communicate security risks and solutions clearly to technical and non-technical audiences. We code using Mac or Linux laptops, using tools of our own choice. Everything we do is auto-tested and released daily. Technology we use: C++, Java, GoLang, Python JavaScript/TypeScript, Mantine, React ONNX, LangChain, Huggingface Podman, Docker Qualifications: Right to work in Norway Computer Science (or similar) graduate. Excellent problem-solving and troubleshooting skills. Strong software development skills (preferably Java or similar) and a solid software engineering background. Practical knowledge of secure coding principles (OWASP Top Ten, encryption, authentication). Experience with security testing tools and techniques. Knowledge of common security vulnerabilities and attack vectors. Passion for security and a desire to stay ahead of the curve. Comfortable with cloud infrastructure and modern DevOps practices. Excellent English communication and collaboration skills; enjoy teaching and advocating for security. Bonus: Experience with cloud security (AWS/GCP/Azure). Knowledge of cryptography and secure coding practices. Familiarity with security standards and frameworks (e.g., SOC2, ISO 27001, NIST Cybersecurity Framework). Experience with incident response and vulnerability management. Familiarity with container security (Kubernetes, Docker) and automation. Familiarity with distributed systems. Why Join Us: Help formulate and execute the security strategy for a start-up handling data for some of the world's largest companies. Be part of a cutting-edge team working on innovative search and recommendation technology. Contribute to the development of a high-performance, open-source platform with a global impact. Collaborate with a talented team of engineers, product experts and sales. Competitive salary, benefits, and opportunities for professional growth. If you are excited about the intersection of open source, search and recommendation systems, AI integration, and have a genuine passion for quality and automation, we would love to hear from you! Apply now to join the Vespa Team and play a key role in shaping the future of our industry. Please attach university transcripts for our evaluation. Note: Vespa.ai is an equal-opportunity employer. We are committed to creating an inclusive environment for all employees. We believe in fostering a collaborative and inclusive environment where every team member has the opportunity to make a significant impact.

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, Yahoo! and J12 Ventures.

  • 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.

Loading...

Compare Vespa to Competitors

Weaviate Logo
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.

Pinecone Logo
Pinecone

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.

M
Milvus

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.

T
Turbopuffer

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.

H
Hyperspace

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 Logo
Qdrant

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.

Loading...

CBI websites generally use certain cookies to enable better interactions with our sites and services. Use of these cookies, which may be stored on your device, permits us to improve and customize your experience. You can read more about your cookie choices at our privacy policy here. By continuing to use this site you are consenting to these choices.