Activeloop
Product Capabilities
Focused feature set
As of October 9, 2026, Activeloop's features: 16 stated capabilities, 2 integrations.
Backed by 18 dated facts
Every value derives from a dated, sourced capture — open any fact for its source.
Every value derives from a dated, sourced capture — open any fact for its source.
Capabilities
Data VersioningData VisualizationDeep MemoryFine Tuning SupportMulti CloudMulti ModalMultimodal SearchNatural Language QueryNatural Language SearchOn PremisesQueryRetrieval AugmentationServerlessStreamingTensor Query LanguageVector Storage
Integrations
GcsS3
Features Change Historydated events · values unlock with a key
Feature removed: VPC Deployment · high significance
Feature removed: Multi Modal · high significance
Feature removed: Fine Tuning · high significance
Feature removed: GCP · high significance
Feature removed: S3 · high significance
Feature removed: Slack · high significance
Feature removed: Model Training · high significance
Feature removed: Petabyte Scale · high significance
Every features fact on this pagekey · value · provenance · dated · sourced
Features across Vector DatabasesActiveloop ranked in place · tap through for each read
| Company | Features read | Facts |
|---|---|---|
| Zilliz | Hybrid search platform | 72 |
| Weaviate | Hybrid search platform | 35 |
| Chroma | Hybrid search platform | 34 |
| LanceDB | Hybrid search platform | 32 |
| Vectara | RAG platform | 30 |
| Qdrant | Hybrid search platform | 29 |
| Activeloop this record | Focused feature set | 18 |
| Pinecone | Hybrid search platform | 17 |
| Epsilla | RAG platform | 14 |
| KDB.AI | Multi-tenancy platform | 12 |
| TopK | Hybrid search platform | 10 |
| Vespa | RAG platform | 10 |
| Turbopuffer | Multi-tenancy platform | 9 |
No observed features facts yet for Marqo, Milvus and MyScale.
IdentityBixel ID · free forever
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
- LinkedIn activeloop · corroborated
- X activeloopai · corroborated
Get features for activeloop.ai via API / MCPevery field dated and sourced
RESTopen tier
GET https://api.bixel.com/v1/companies/activeloop.ai/facts?dimension=features
{
"data": {
"facts": [
{
"key": "features.data-versioning",
"value": true,
"provenance": "company_stated",
"as_of": "2026-10-09",
"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": "features.data-visualization",
"value": true,
"provenance": "company_stated",
"as_of": "2026-10-09",
"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": "features.deep-memory",
"value": true,
"provenance": "company_stated",
"as_of": "2026-10-09",
"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": "features.fine-tuning-support",
"value": true,
"provenance": "company_stated",
"as_of": "2026-10-09",
"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: "features" })
# returns the features 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.