Bixel

Marqo

S2Search Australia Pty Ltd·Marqo.ai
Location & Presence

3 offices stated

As of July 21, 2026, Marqo's location: Offices are stated in San Francisco, London, and Melbourne, but no headquarters is designated and the work model is not disclosed, so buyers cannot easily determine which office owns the commercial relationship.

Medium confidence · 3 dated facts
Grounded in a smaller fact set; directionally reliable.
Details
Headquartersnot stated
Other officesSan Francisco, US, London, GB, and Melbourne, AU
Work modelnot stated
Every location fact on this pagekey · value · provenance · dated · sourced
FactValueProvenanceAs ofSource
location.office.londonLondon, GBcompany stated2026-07-21marqo.ai/privacy-policy
location.office.melbourneMelbourne, AUcompany stated2026-07-21marqo.ai/privacy-policy
location.office.san-franciscoSan Francisco, UScompany stated2026-07-21marqo.ai/privacy-policy
Location across Vector DatabasesMarqo ranked in place · tap through for each read
CompanyLocation readFacts
ZillizRedwood City, US · +5 offices6
TurbopufferRemote-first, no HQ4
Marqo this record3 offices stated3
PineconeSan Francisco, CA · +1 office2
ActiveloopRemote-first, no HQ1
EpsillaJersey City, NJ1
LanceDB1 office stated1
Qdrant1 office stated1
VespaTrondheim, NO1

No observed location facts yet for Chroma, KDB.AI, Milvus, MyScale, TopK, Vectara and Weaviate.

Get location for marqo.ai via API / MCPevery field dated and sourced
RESTopen tier
GET https://api.bixel.com/v1/companies/marqo.ai/facts?dimension=location

{
  "data": {
    "facts": [
      {
        "key": "location.office.san-francisco",
        "value": "San Francisco, US",
        "provenance": "company_stated",
        "as_of": "2026-07-21",
        "source_url": "marqo.ai/privacy-policy"
      },
      {
        "key": "location.office.london",
        "value": "London, GB",
        "provenance": "company_stated",
        "as_of": "2026-07-21",
        "source_url": "marqo.ai/privacy-policy"
      },
      {
        "key": "location.office.melbourne",
        "value": "Melbourne, AU",
        "provenance": "company_stated",
        "as_of": "2026-07-21",
        "source_url": "marqo.ai/privacy-policy"
      },
      "…"
    ]
  }
}
MCPfor agents
# any MCP client (Claude, agents)
const record = await bixel.get_company_facts({ domain: "marqo.ai", 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.