How much funding has VectorTree raised?

VectorTree has raised €565.8K in total funding. Their latest funding round was Grant. Key investors include Earlybird Venture Capital, Speedinvest, Techstars Berlin Alumni Fund.

Where is VectorTree headquartered?

VectorTree is headquartered in Kaunas, Lithuania. The company has a team of 10-50 people.

What does VectorTree do?

VectorTree operates in the AI Infrastructure sector. Advanced vector database platform optimized for large-scale AI and generative applications. Ultra-fast similarity search and retrieval across billions of vectors with native support for multimodal data (text/image/audio), privacy-first design compliant with EU regulations.

When was VectorTree founded?

VectorTree was founded in 2023. It is based in Kaunas, Lithuania.

Where is VectorTree located?

VectorTree is headquartered in Kaunas, Lithuania.

What funding stage is VectorTree at?

VectorTree is currently at the Early Stage stage.

How many employees does VectorTree have?

VectorTree has approximately 10-50 employees.

VectorTree

Category: AI Infrastructure

Advanced vector database platform optimized for large-scale AI and generative applications. VectorTree was founded in 2023. Based in Kaunas, Lithuania. Team size: 10-50. Total funding raised: €565.8K. Latest round: Grant. Key investors include Earlybird Venture Capital, Speedinvest, Techstars Berlin Alumni Fund.

Founded: 2023
Headquarters: Kaunas, Lithuania
Team size: 10-50
Total funding: €565.8K

Value proposition

Ultra-fast similarity search and retrieval across billions of vectors with native support for multimodal data (text/image/audio), privacy-first design compliant with EU regulations.

Products and solutions

VectorTree Cloud DB – managed vector database service., On-premise Enterprise Edition – deployable within private clouds., SDKs/APIs – Python & REST APIs for integration into ML pipelines., Analytics Dashboard – real-time monitoring & performance tuning tools.

Unique value

Focuses on privacy-preserving vector storage/search tailored to European regulatory standards (GDPR-compliant by design) and supports hybrid search across structured/unstructured/multimodal datasets natively.

Target customer

Enterprise AI teams, SaaS providers integrating search/recommendation/generative features, data science & ML engineering teams.

Industries served

E-commerce, Fintech, Healthcare/Life sciences, Media/Content platforms

Technology advantage

Proprietary indexing algorithms enabling sub-millisecond latency at scale; built-in encryption-at-rest/in-transit; seamless integration with popular open-source LLM frameworks and MLOps stacks.

How they differentiate

Differentiates via native GDPR compliance/privacy features, deep multimodal/hybrid search capabilities, and strong European ecosystem partnerships.

Main competitors

Pinecone, Weaviate, Milvus

Growth metrics

>50% quarterly growth in developer signups since beta launch; >10 enterprise pilots underway; >10B vectors indexed across customer deployments.

Market positioning

Positioned as the leading EU-native alternative to US/Asia-centric solutions, especially for regulated industries in Europe.

Geographic focus

Europe

About the founder

Ari Kristinn Jónsson holds a PhD in AI from Stanford, worked a decade at NASA Ames Research Center, and served over 11 years as president of Reykjavik University. He was CEO (not COO) of Videntifier Technologies before becoming President of the NATO Innovation Fund in April 2026.

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Official website: https://vectortree.ai