Activeloop
Funding & Investors
$11M raised
As of July 20, 2026, Activeloop's funding: A single Series A of $11M closed in March 2024 is a modest capital base for an enterprise platform; buyers should ask about runway and roadmap commitments before signing multi-year contracts.
High confidence · 3 dated facts
Corroborated across multiple dated, sourced facts.
Corroborated across multiple dated, sourced facts.
Rounds
$11MTotal raised1Round
$11MSeries A
Streamlined Ventures, Y Combinator, Samsung Next, Alumni Ventures, Dispersion Capital
Every funding fact on this pagekey · value · provenance · dated · sourced
| Fact | Value | Provenance | As of | Source |
|---|---|---|---|---|
| funding.round.series-a.amount_usd | 11000000 usd | company stated | 2026-07-20 | www.activeloop.ai/resources/the-future-of-ai-data-we-raised-series-a-to-bring-the-database-for-ai-to-fortune-500/ |
| funding.round.series-a.announced_on | 2024-03-26 | company stated | 2026-07-20 | www.activeloop.ai/resources/the-future-of-ai-data-we-raised-series-a-to-bring-the-database-for-ai-to-fortune-500/ |
| funding.round.series-a.investors | {"names":["Streamlined Ventures","Y Combinator","Samsung Next","Alumni Ventures","Dispersion Capital"]} | company stated | 2026-07-20 | www.activeloop.ai/resources/the-future-of-ai-data-we-raised-series-a-to-bring-the-database-for-ai-to-fortune-500/ |
Funding across Vector DatabasesActiveloop 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 | $31M raised | 4 |
| Activeloop this record | $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 activeloop.ai via API / MCPevery field dated and sourced
RESTopen tier
GET https://api.bixel.com/v1/companies/activeloop.ai/facts?dimension=funding
{
"data": {
"facts": [
{
"key": "funding.round.series-a.amount_usd",
"value": 11000000,
"provenance": "company_stated",
"as_of": "2026-07-20",
"source_url": "www.activeloop.ai/resources/the-future-of-ai-data-we-raised-series-a-to-bring-the-database-for-ai-to-fortune-500/"
},
{
"key": "funding.round.series-a.announced_on",
"value": "2024-03-26",
"provenance": "company_stated",
"as_of": "2026-07-20",
"source_url": "www.activeloop.ai/resources/the-future-of-ai-data-we-raised-series-a-to-bring-the-database-for-ai-to-fortune-500/"
},
{
"key": "funding.round.series-a.investors",
"value": {
"names": [
"Streamlined Ventures",
"Y Combinator",
"Samsung Next",
"Alumni Ventures",
"Dispersion Capital"
]
},
"provenance": "company_stated",
"as_of": "2026-07-20",
"source_url": "www.activeloop.ai/resources/the-future-of-ai-data-we-raised-series-a-to-bring-the-database-for-ai-to-fortune-500/"
},
"…"
]
}
}MCPfor agents
# any MCP client (Claude, agents)
const record = await bixel.get_company_facts({ domain: "activeloop.ai", dimension: "funding" })
# returns the funding record above,
# each value with its source_url + as_of,
# ready to reason overBuild 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.