Vespa

Vespa.ai AS·Vespa.ai

Funding & Investors

$31M raised

As of July 20, 2026, Vespa's funding: A single Series A of $31M, closed November 2023 and led by Blossom Capital, is the entire disclosed funding history; there is no follow-on round on record, which matters if a buyer is assessing vendor longevity over a multi-year contract.

Rounds

$31MTotal raised1Round

Nov 2023

$31MSeries A

Led by Blossom Capital

Every funding fact on this pagekey · value · provenance · dated · sourced

Fact	Value	Provenance	As of	Source
funding.round.series-a.amount_usd	31000000 usd	company stated	2026-07-20	blog.vespa.ai/announcing-our-series-a-funding/
funding.round.series-a.announced_on	2023-11-01	company stated	2026-07-20	blog.vespa.ai/announcing-our-series-a-funding/
funding.round.series-a.investors	{"names":["Blossom Capital"]}	company stated	2026-07-20	blog.vespa.ai/announcing-our-series-a-funding/
funding.round.series-a.lead	Blossom Capital	company stated	2026-07-20	blog.vespa.ai/announcing-our-series-a-funding/

Funding across Vector DatabasesVespa ranked in place · tap through for each read

Company	Funding read	Facts
Pinecone	$138M raised across 3 rounds	17
Qdrant	$85.5M raised across 3 rounds	12
Zilliz	$103M raised across 2 rounds	8
LanceDB	$38M raised across 2 rounds	5
Vespa this record	$31M raised	4
Activeloop	$11M raised	3
TopK	$5.5M raised	2
Chroma	$18M raised	1

No observed funding facts yet for Epsilla, KDB.AI, Marqo, Milvus, MyScale, Turbopuffer, Vectara and Weaviate.

Get funding for vespa.ai via API / MCPevery field dated and sourced

RESTopen tier

GET https://api.bixel.com/v1/companies/vespa.ai/facts?dimension=funding

{
  "data": {
    "facts": [
      {
        "key": "funding.round.series-a.amount_usd",
        "value": 31000000,
        "provenance": "company_stated",
        "as_of": "2026-07-20",
        "source_url": "blog.vespa.ai/announcing-our-series-a-funding/"
      },
      {
        "key": "funding.round.series-a.announced_on",
        "value": "2023-11-01",
        "provenance": "company_stated",
        "as_of": "2026-07-20",
        "source_url": "blog.vespa.ai/announcing-our-series-a-funding/"
      },
      {
        "key": "funding.round.series-a.lead",
        "value": "Blossom Capital",
        "provenance": "company_stated",
        "as_of": "2026-07-20",
        "source_url": "blog.vespa.ai/announcing-our-series-a-funding/"
      },
      {
        "key": "funding.round.series-a.investors",
        "value": {
          "names": [
            "Blossom Capital"
          ]
        },
        "provenance": "company_stated",
        "as_of": "2026-07-20",
        "source_url": "blog.vespa.ai/announcing-our-series-a-funding/"
      },
      "…"
    ]
  }
}

MCPfor agents

# any MCP client (Claude, agents)
const record = await bixel.get_company_facts({ domain: "vespa.ai", dimension: "funding" })

# returns the funding 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.