Pinecone
AI & Deep TechPinecone develops a managed vector database for AI applications, allowing developers to store and search embeddings used in semantic retrieval, recommendations and retrieval-augmented generation.
Introduce me to Pinecone
Founders & company facts
Sources reviewed:Reported cumulative funding
$138,000,000 · Source
This index includes companies with publicly reported total funding up to US$150 million. This is a reported total, not valuation, the latest round size or confirmation of an open round. Funding reviewed: .
Documented founding team
No confirmed founder names are included in this profile.
- Founded
- Not confirmed
- Reported Israeli location
- Not confirmed
- Team range in directory
- Not confirmed
- Reported business model
- Not confirmed
Selected disclosed financing
Selected transactions, with dates, funding types and reported participants.
Individual financing rounds have not been documented in this profile. A reported total is shown above when available.
Company overview
Product & customers
Pinecone develops a managed vector database for AI applications, allowing developers to store and search embeddings used in semantic retrieval, recommendations and retrieval-augmented generation.
Commercial potential · editorial analysis
For Pinecone, the commercial question is how vector search infrastructure supports paying customers over time. The opportunity involves integrating specialist models or computing infrastructure into repeatable customer workflows. A review should distinguish trials from paid adoption and examine the support and delivery work required as usage expands.
What to validate
When assessing Pinecone, diligence should cover representative benchmarks, compute costs, data rights, integration effort and human oversight. Prospective users should ask for evidence from settings comparable to their own, including unsuccessful cases and costs, before drawing conclusions about deployment suitability.
Product source reviewed on . Company source