Startup profile · funding coverage
Pinecone funding, valuation and investors
Managed vector database for AI retrieval, semantic search, and RAG applications.
Keep track of Pinecone
Save this profile to your VCT watchlist for a quick return.
Funding, valuation & investors
Answer-first snapshotLatest funding
Series B
$100M · April 27, 2023
Latest known valuation
$750M
Series B · April 27, 2023
Total disclosed equity funding
$100M
Excludes debt, grants, acquisitions, secondaries, and IPO proceeds.
Current status
private
growth · New York, USA
Overview
Pinecone provides a fully managed vector database for storing and querying high-dimensional embeddings used in semantic search, recommendation, and retrieval-augmented generation (RAG). Founded by Edo Liberty (former Amazon AI research director), Pinecone became a default infrastructure pick when LLM apps needed long-term memory beyond context windows. Andreessen Horowitz led a $100M Series B in April 2023 at $750M valuation with Menlo Ventures and Wing participating.
Why Pinecone is interesting
Defined the vector DB category for production RAG — a16z-led $100M Series B (2023) at $750M as every enterprise AI app needed embedding search infrastructure.
Product & use cases
Pinecone indexes vector embeddings with metadata filtering, hybrid search, and serverless scaling. Developers use it via API/SDKs to power RAG chatbots, similarity search, and recommendation engines without operating own vector infrastructure.
- RAG pipelines for enterprise knowledge bases
- Semantic product search in e-commerce
- Anomaly detection and similarity matching
- Long-term memory for AI agents and copilots
Key facts
- Series B (Apr 2023): $100M at $750M led by a16z — Pinecone press
- Menlo Ventures continued from prior rounds
- Founded by Edo Liberty, ex-Amazon AI
- Positioned as 'long-term memory for AI' during RAG wave
- Co-investors not in VCT directory: ICONIQ Growth, Wing Venture Capital
Funding history (newest first)
Series B
2023-04-27 $100M Valuation: $750MInvestors in our directory
Funds linked from Pinecone's profile — open a fund page for stage focus and related deal articles.
Competitive landscape
Edge: Early managed-service focus with developer experience and SLAs before Postgres pgvector and cloud incumbents caught up.
Vector search commoditized as databases add native vectors. Pinecone competes on managed ops, latency at scale, and enterprise support. a16z's $100M bet reflects belief RAG workloads need specialized infra vs bolt-on SQL extensions.
-
Weaviate direct
Open-source vector DB with cloud offering; strong hybrid search.
-
Milvus / Zilliz direct
Open-source scale-out vector engine with managed cloud.
-
pgvector (PostgreSQL) alternative
Embeddings inside Postgres — simpler for teams already on SQL.
-
Elasticsearch incumbent
Added dense vector search to existing search clusters.
Notable stories
- Edo Liberty ran Amazon's AI Labs before founding Pinecone — applied ANN (approximate nearest neighbor) research to managed cloud product timing the LLM boom.
- Pinecone's Series B tagline 'long-term memory for AI' became shorthand for vector DB category in 2023 enterprise AI budgets.
Industries
FAQs about Pinecone
Practical answers founders, operators, and investors typically search for.
Last updated:
Editorial note: AI tools assisted with research, structure, or drafting. Venture Capital Tracker retains human editorial responsibility for factual accuracy, relevance, and source quality before publication.