Headquarters
Palo Alto, CAFounded
2023CEO / Founder
Tengyu MaEmployees
11-50Funding
AcquiredProducts
1 product listedAvg. AI Score
8.1/10Website
www.voyageai.comProfile updated
Voyage AI was founded in 2023 by Tengyu Ma, a Stanford computer science professor, to build state-of-the-art embedding and reranking models specialized for retrieval-augmented generation use cases. The company released a series of voyage-* embedding models (voyage-3, voyage-large-2, voyage-code-2, voyage-finance-2, voyage-law-2, voyage-multimodal) and reranking models targeting domain-specific RAG workloads.
MongoDB acquired Voyage AI in February 2025 for approximately $220 million to integrate native embedding generation and reranking into MongoDB Atlas vector search. Voyage AI continues to offer its models as a standalone API.
Pre-acquisition, Voyage AI was headquartered in Palo Alto, California and raised approximately $20 million in seed and Series A rounds from CRV, Wing Venture Capital, and others.
Dated, source-cited figures. Estimates are marked.
All products by Voyage AI reviewed by our AI panel of experts.
Six independent reviewer personalities assessed Voyage AI's product on their own terms. They landed within 0.4 points of each other, an unusually strong consensus.
Averaged across 1 reviewed product in our catalog. Scores are out of 10.
Who Voyage AI competes with, and how they differ.
Cohere ships its own Embed and Rerank model lines via API, competing directly in both embeddings and reranking; Voyage's own January 2025 benchmarks reported voyage-3-large beating Cohere-v3-English by ~20.7% and rerank-1 beating Cohere's rerank-english-v3/rerank-multilingual-v3.
1 product reviewed on TopReviewedOpenAI's text-embedding-3 models are the default embeddings choice for developers already on the OpenAI API; Voyage's January 2025 benchmarks claimed voyage-3-large outperforms OpenAI-v3-large by ~9.7% on retrieval tasks across 100 datasets.
2 products reviewed on TopReviewedJina AI ships open-weight embedding models (jina-embeddings-v5, Apache-2.0/CC-BY-NC licensed) deployable outside a hosted API, competing with Voyage on the self-hostable segment Voyage's proprietary models don't serve.
1 product reviewed on TopReviewedKey milestones in Voyage AI's history, with sources.
Acquired by MongoDB in ~$220M deal
MongoDB announced its acquisition of Voyage AI to integrate embedding and reranking models directly into MongoDB Atlas; deal terms were not disclosed by either company but Bloomberg reported a price of approximately $220 million. Voyage models remain available via voyageai.com and AWS/Azure marketplaces.
blog.voyageai.comvoyage-3-large embedding model launched
Voyage AI released voyage-3-large, a general-purpose embedding model supporting Matryoshka dimensionality (2048/1024/512/256) and quantization; the company reported it outperforming OpenAI-v3-large and Cohere-v3-English by 9.74% and 20.71% respectively across 100 evaluation datasets.
blog.voyageai.comSeries A — $20M led by CRV, total raised to $28M
Voyage AI raised a $20M Series A led by CRV with participation from Wing VC, Conviction, Snowflake Ventures, Databricks Ventures, Pear VC, Tectonic Ventures, Mayfield Fund and Fusion Fund, bringing total funding to $28M.
blog.voyageai.comrerank-1 reranking model launched
Voyage AI launched rerank-1, a general-purpose and multilingual reranker supporting 27 languages and an 8k context window, reported to outperform bge-reranker-v2-m3 and Cohere's rerank-english-v3/rerank-multilingual-v3.
blog.voyageai.comInitial embedding model (voyage-01) launched
Voyage AI launched its first embedding model and API, voyage-01, built on research from Stanford AI Lab and MIT NLP, claiming over 5 points of benchmark improvement over OpenAI text-embedding models for retrieval-augmented generation.
blog.voyageai.comVoyage AI founded by Stanford professor Tengyu Ma
Voyage AI was founded in 2023 by Tengyu Ma, a Stanford University assistant professor, to build embedding and reranking models for retrieval-augmented generation and semantic search.
crn.comBrowse multi-perspective AI panel reviews across hundreds of AI tools, agents, and platforms. Find the right software with insights from CTO, Developer, Marketer, Finance, and User perspectives.