Bixel

KDB.AI

KX Systems, Inc·Kdb.ai
Market Positioning

Vector Database

As of September 24, 2026, KDB.AI's positioning: The homepage headline is "The Scalable Vector Database for AI" with an explicit call-out of time series search alongside contextual search, which is a narrower and more specific angle than general-purpose vector stores and worth testing against your actual data shape.

Backed by 3 dated facts
Every value derives from a dated, sourced capture — open any fact for its source.
On their homepage
“The Scalable Vector Database for AI”
The vector database for contextual and time series search. Build AI apps, find patterns in your data, and mix structured with unstructured data.
Positioning Change Historydated events · values unlock with a key
Positioning changed: Target Segment · high significance
Positioning changed: Target Segment
Positioning changed: Target Segment
Positioning changed: Target Segment
Positioning changed: Target Segment
Positioning changed: Target Segment
Every positioning fact on this pagekey · value · provenance · dated · sourced
FactValueProvenanceAs ofSource
positioning.categoryvector-databasecompany stated2026-09-24kdb.ai
positioning.h1The Scalable Vector Database for AIcompany stated2026-09-24kdb.ai
positioning.taglineThe vector database for contextual and time series search. Build AI apps, find patterns in your data, and mix structured with unstructured data.company stated2026-09-24kdb.ai
Positioning across Vector DatabasesKDB.AI ranked in place · tap through for each read
CompanyPositioning readFacts
TopKRetrieval Engine6
ZillizVector Lakebase6
MarqoAI Ecommerce Search Platform5
ChromaSearch Infrastructure4
EpsillaAI Agent Platform4
PineconeAI Knowledge Platform4
QdrantVector Search Engine4
VectaraEnterprise AI Platform4
VespaAI Search Platform4
WeaviateAI Vector Database4
KDB.AI this recordVector Database3
MyScaleAI Database3
TurbopufferVector And Full Text Search Database3
ActiveloopDatabase For AI2
LanceDBMultimodal Lakehouse2

No observed positioning facts yet for Milvus.

IdentityBixel ID · free forever
Bixel IDbxc_pr9gbmkm05z0brandID 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

None read from the company's own pages yet.

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

{
  "data": {
    "facts": [
      {
        "key": "positioning.category",
        "value": "vector-database",
        "provenance": "company_stated",
        "as_of": "2026-09-24",
        "source_url": "kdb.ai"
      },
      {
        "key": "positioning.h1",
        "value": "The Scalable Vector Database for AI",
        "provenance": "company_stated",
        "as_of": "2026-09-24",
        "source_url": "kdb.ai"
      },
      {
        "key": "positioning.tagline",
        "value": "The vector database for contextual and time series search. Build AI apps, find patterns in your data, and mix structured with unstructured data.",
        "provenance": "company_stated",
        "as_of": "2026-09-24",
        "source_url": "kdb.ai"
      },
      "…"
    ]
  }
}
MCPfor agents
# any MCP client (Claude, agents)
const record = await bixel.get_company_facts({ domain: "kdb.ai", dimension: "positioning" })

# returns the positioning 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.