Voyage AI
Embedding models company building best-in-class vector representations for retrieval. Acquired by MongoDB February 2025 to power Atlas Vector Search.
Acquired Voyage AI
Acquired · February 2025
Voyage AI was the embedding-models company founded by Stanford professor Tengyu Ma, building best-in-class vectors for retrieval and RAG. The voyage-3 series outperformed OpenAI's ada-002 on standard benchmarks and was widely adopted in enterprise RAG pipelines. MongoDB acquired Voyage AI in February 2025 for ~$220M to integrate the embedding models directly into MongoDB Atlas Vector Search. The acquisition reflected databases absorbing vector search natively rather than partnering with standalone embedding APIs. Voyage's API continues to operate while being integrated into Atlas.
Acquired by MongoDB.
What to use instead
Grok
Elon Musk's xAI aims to understand the universe's true nature.
Paid - Inquire
4.92
482
fal.ai
Fastest generative AI platform for developers — 1,000+ image, video, audio, and 3D models with optimized real-time inference. Default home for FLUX, SAM, MuseTalk.
Freemium
4.93
490
Vercel AI SDK
Universal TypeScript SDK from Vercel for building AI apps and agents with multi-model support.
Free
4.93
480
Overview
Voyage AI: Embedding Models Company (Acquired by MongoDB)
Voyage AI was Embedding models company founded by Stanford professor Tengyu Ma. MongoDB acquired Voyage AI in February 2025 for approximately $220 million to integrate best-in-class embedding models directly into MongoDB Atlas. The acquisition reflected the broader trend of databases absorbing vector search and embedding capabilities rather than partnering with standalone embedding API providers. Voyage's standalone API continues to be available but is being progressively integrated into MongoDB Atlas Vector Search.
Key Features
- Embedding models company founded by Stanford professor Tengyu Ma
- Best-in-class embedding models for retrieval and RAG applications
- voyage-3 series outperformed OpenAI ada-002 on standard benchmarks
- Used by major enterprises for vector search and RAG pipelines
- Acquired by MongoDB in February 2025 for ~$220 million
- Now powers MongoDB Atlas Vector Search and embeddings APIs
- Founded by ex-Stanford NLP researchers and Berkeley alumni
Historical Use Case
Historical reference for the embedding-models market. Voyage AI's MongoDB acquisition reflected database vendors integrating vector capabilities natively rather than partnering.
What Happened to Voyage AI
MongoDB acquired Voyage AI in February 2025 for approximately $220 million to integrate best-in-class embedding models directly into MongoDB Atlas. The acquisition reflected the broader trend of databases absorbing vector search and embedding capabilities rather than partnering with standalone embedding API providers. Voyage's standalone API continues to be available but is being progressively integrated into MongoDB Atlas Vector Search.
FAQ
Q: Why did MongoDB acquire Voyage AI? A: To integrate best-in-class embedding models directly into MongoDB Atlas Vector Search rather than rely on partner API.
Q: Acquisition price? A: Approximately $220 million, per public reports.
Q: Are Voyage models still available? A: Yes — voyage-3 series remains accessible via API; progressively being integrated into MongoDB Atlas.
Q: Founder pedigree? A: Tengyu Ma — Stanford professor of CS specializing in deep learning theory and language models.
tl;dr
Embedding models acquired by MongoDB Feb 2025 for $220M. Stanford-founded; powers Atlas Vector Search.
Related
Looking for more options? Browse the AI Infrastructure directory or read our best AI infrastructure tools listicle. Voyage AI is also tracked on Crunchbase.
Why Use Voyage AI
