KDB.AI

KX Systems, Inc·Kdb.ai
Company Overview

As of October 20, 2026: KDB.AI is a vector database built for time series and contextual search, sold under the KX Systems, Inc legal entity with terms governed by New York law.

The product leads with hybrid search across structured and unstructured data, listing 11 stated capabilities including multi-tenancy, with 1 documented integration publicly shown. Headquarters are in Newry, N. Ireland, though no remote or on-site work model is stated, and the corporate and legal home is in the US.

Backed by 24 dated facts
Drawn from 5 dimensions of the record, each dated and sourced.
The record, by dimensionevery dimension is its own page →
FeaturesBacked by 12 dated facts
Every value derives from a dated, sourced capture — open any fact for its source.
Hybrid search platform
Eleven stated capabilities cover hybrid search and multi-tenancy, but only one integration is publicly listed, which is a thin ecosystem for buyers who need to connect existing tooling without custom work.
Full features read →
Stack
6 detected
Six technologies detected on the live site include Google Analytics, Google Tag Manager, Nginx, and OneTrust, which is a standard SaaS marketing and compliance stack and tells buyers little about the underlying database infrastructure.
Backed by 6 dated facts
Every value derives from a dated, sourced capture — open any fact for its source.
Full read →
Positioning
Vector Database
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.
Full read →
Location
Newry, N. Ireland
The company is headquartered in Newry, N. Ireland, with no work model stated, so buyers with data residency requirements in the EU or UK should verify where infrastructure actually runs before signing.
Backed by 1 dated fact
Every value derives from a dated, sourced capture — open any fact for its source.
Full read →
Legal
KX Systems, Inc
The registered entity is KX Systems, Inc and contracts run under New York law, meaning disputes land in a US jurisdiction regardless of where the buyer or the product's headquarters sits; no arbitration clause, class-action waiver, or auto-renewal terms are publicly stated, so those points need to be confirmed in the contract.
Backed by 2 dated facts
Every value derives from a dated, sourced capture — open any fact for its source.
Full read →
Change History60 dated events on the record
Legal details changed: Entity
Legal terms changed: Governing Law · high significance
Legal terms changed: Governing Law · high significance
Legal details changed: Entity
Legal details changed: Entity
Legal terms changed: Governing Law · high significance
Legal terms changed: Governing Law · high significance
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 this record via API / MCPevery field dated and sourced
RESTopen tier
GET https://api.bixel.com/v1/companies/kdb.ai

{
  "data": {
    "company": {
      "name": "KDB.AI",
      "domain": "kdb.ai",
      "categories": [
        "vector-databases"
      ]
    },
    "dimensions": {
      "stack": {
        "facts": [
          {
            "key": "stack.tech.google-analytics",
            "value": true,
            "provenance": "observed",
            "as_of": "2026-09-24",
            "source_url": "kdb.ai"
          }
        ]
      },
      "…": "…"
    }
  }
}
MCPfor agents
# any MCP client (Claude, agents)
const record = await bixel.get_company({ domain: "kdb.ai" })

# returns the whole 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.
How Bixel reads this

Every read above is derived from public signals, each sourced and dated, and kept honest about provenance: what the company states on its own pages and job posts (pricing, security, careers, positioning, its backend stack) versus what Bixel independently detects (technologies, infrastructure). Where a stated claim is also detected we mark it verified; where we only have the claim, we say so. Bixel infers posture: how it monetizes, how mature it is, where it's heading. It does notclaim private financials it can't observe. Where signals are thin, the record says so.

Public record, read from companies' own pages and boards. Every fact dated and sourced; provenance (observed vs company stated) shown inline.