Pinecone

Pinecone Systems, Inc.·Pinecone.io
Location & Presence

San Francisco, US · +3 offices

As of October 20, 2026, Pinecone's location: Headquartered in San Francisco, US; offices in Brussels, BE, London, GB, and San Francisco, CA.

Backed by 4 dated facts
Every value derives from a dated, sourced capture — open any fact for its source.
Details
HeadquartersSan Francisco, US
Other officesBrussels, BE, London, GB, and San Francisco, CA
Work modelnot stated
Location Change Historydated events · values unlock with a key
Office opened: Office London
Office opened: Office Brussels
Office opened: Office Brussels
Office closed: Office San Francisco
Office opened: Office London
Headquarters moved: Hq · high significance
Office opened: Office San Francisco
Office closed: Office Brussels · high significance
Every location fact on this pagekey · value · provenance · dated · sourced
FactValueProvenanceAs ofSource
location.hqSan Francisco, UScompany stated2026-10-20pinecone.io/privacy
location.office.brusselsBrussels, BEcompany stated2026-10-20pinecone.io/privacy
location.office.londonLondon, GBcompany stated2026-10-20pinecone.io/privacy
location.office.san-franciscoSan Francisco, CAcompany stated2026-10-20www.pinecone.io/contact/hipaa/
Location across Vector DatabasesPinecone ranked in place · tap through for each read

No observed location facts yet for Milvus, MyScale, TopK and Vectara.

IdentityBixel ID · free forever
Bixel IDbxc_32mr2r1j1tc6brandID in service · identity is free forever · permalink
Operated by

No registered company joined yet. Would resolve with: a registry identifier for the entity; a legal page on the site naming the registered company.

Registry identifiers

None on record.

Published identifiers
  • Crunchbase pinecone · inferred
  • GitHub pinecone-io · corroborated
  • LinkedIn pinecone-io · corroborated
  • Wikidata Q122196662 · inferred
  • X pinecone · corroborated
  • YouTube @pinecone-io · corroborated
Get location for pinecone.io via API / MCPevery field dated and sourced
RESTopen tier
GET https://api.bixel.com/v1/companies/pinecone.io/facts?dimension=location

{
  "data": {
    "facts": [
      {
        "key": "location.hq",
        "value": "San Francisco, US",
        "provenance": "company_stated",
        "as_of": "2026-10-20",
        "source_url": "pinecone.io/privacy"
      },
      {
        "key": "location.office.brussels",
        "value": "Brussels, BE",
        "provenance": "company_stated",
        "as_of": "2026-10-20",
        "source_url": "pinecone.io/privacy"
      },
      {
        "key": "location.office.london",
        "value": "London, GB",
        "provenance": "company_stated",
        "as_of": "2026-10-20",
        "source_url": "pinecone.io/privacy"
      },
      {
        "key": "location.office.san-francisco",
        "value": "San Francisco, CA",
        "provenance": "company_stated",
        "as_of": "2026-10-20",
        "source_url": "www.pinecone.io/contact/hipaa/"
      },
      "…"
    ]
  }
}
MCPfor agents
# any MCP client (Claude, agents)
const record = await bixel.get_company_facts({ domain: "pinecone.io", dimension: "location" })

# returns the location record above,
# each value with its source_url + as_of,
# ready to reason over
Build on the company record. One key, REST + MCP, every signal dated and sourced back to the page it came from.

Public record, read from companies' own pages and boards. Every fact dated and sourced; provenance (observed vs company stated) shown inline.