Pinecone — Startup Profile
The vector database built for production AI
HQ: San Francisco, CA | Founded: 2019 | Employees: 200-300 | Stage: Series C | Website: https://www.pinecone.io
About
Pinecone provides a fully managed, cloud-native vector database designed for AI and machine learning applications. It enables developers to store, index, and query high-dimensional vector embeddings at scale, powering use cases including semantic search, retrieval-augmented generation (RAG), image similarity, and recommendation systems. Pinecone's serverless architecture automatically scales to handle billions of vectors without manual infrastructure management. The platform integrates natively with major LLM providers, embedding models, and AI frameworks, making it a core infrastructure layer for enterprise AI stacks. Headquartered in San Francisco, Pinecone serves thousands of customers globally and has raised over $130 million in total funding.
The Take
Pinecone remains the leading purpose-built vector database for production AI workloads, with a strong developer community and enterprise traction. The competitive landscape has intensified with offerings from Weaviate, Qdrant, Milvus, and cloud-native options from AWS, Google, and Azure, but Pinecone's managed service, serverless architecture, and deep integration with the LLM ecosystem keep it well-positioned. The company's 2025 Series C raise signals continued investor confidence in the vector database category as enterprise AI adoption accelerates.
Key Metrics
- Total Funding: $136M+
- Latest Valuation: $1B+ (estimated)
- Employees: 200-300
- Customers: 3,000+
- Vectors Indexed: Billions
- Founded: 2019
Funding Rounds
- Round: $100M (2025-02-15) — Andreessen Horowitz
- Round: $100M (2023-04-27) — Wing Venture Capital (participated)
- Round: $10M (estimated) (2021-01-01) — Wing Venture Capital
Key People
- Matt X. Mills
- Edo Liberty
- Michael Ansel
Key Competitors
- Weaviate —
- Qdrant —
- Milvus / Zilliz —
- pgvector (PostgreSQL extension) —
- Amazon Aurora pgvector / Vertex AI Matching Engine —
Timeline Highlights
- 2019-01-01: Company Founded
- 2023-05-01: CEO Transition
- 2023-04-27: Series B — $100M at $750M Valuation
- 2024-08-01: Serverless Platform GA
- 2025-02-15: Series C — $100M
- 2025-06-10: RAG Pipeline Integrations Launch
- 2025-09-22: Enterprise Customer Milestone
Recent News
- Pinecone raises $100M Series C to scale vector database infrastructure for enterprise AI (2025-02-15)
- Pinecone launches serverless RAG pipeline integrations with OpenAI and Anthropic (2025-06-10)
- Pinecone reports 3x year-over-year growth in enterprise customers amid AI boom (2025-09-22)
- Vector database market heats up as Pinecone, Weaviate, and cloud providers compete for AI infrastructure spend (2025-11-05)
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