LanceDB

Limited coverage

LanceDB's site sits behind a bot-verification wall that Bixel does not evade. Coverage is limited to signals observable off-site (job postings, DNS, subdomain surfaces) until BixelBot's verified-bot admission clears.

Company Overview

As of October 20, 2026: LanceDB is a multimodal vector database built for AI workloads, with a $30M Series A closed in June 2025 putting fresh capital behind its push against established search infrastructure.

The platform states 21 capabilities including hybrid search, RAG, and reranking, alongside 10 integrations, and claims 1.5 million IOPS. LanceDB names OpenSearch directly as the incumbent it displaces, which tells a buyer exactly what migration conversation to expect.

Backed by 56 dated facts
Drawn from 5 dimensions of the record, each dated and sourced.
The record, by dimensionevery dimension is its own page →
FeaturesBacked by 32 dated facts
Every value derives from a dated, sourced capture — open any fact for its source.
Hybrid search platform
21 stated capabilities incl. hybrid search, RAG, and reranking, 10 integrations.
Full features read →
Change History77 dated events on the record
Funding details changed: Round Series A Announced On
Funding details changed: Round Series A Announced On
Funding details changed: Round Series A Announced On
Funding details changed: Round Series A Announced On · high significance
Pricing changed: Model · high significance
Pricing changed: Enterprise tier contact-sales flag · high significance
Pricing tier removed: Enterprise tier name · high significance
IdentityBixel ID · free forever
Bixel IDbxc_d1fcbwdkrr32brandID 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
  • GitHub lancedb · inferred
  • LinkedIn lancedb · inferred
  • X lancedb · inferred
Get this record via API / MCPevery field dated and sourced
RESTopen tier
GET https://api.bixel.com/v1/companies/lancedb.com

{
  "data": {
    "company": {
      "name": "LanceDB",
      "domain": "lancedb.com",
      "categories": [
        "vector-databases"
      ]
    },
    "dimensions": {
      "stack": {
        "facts": [
          {
            "key": "stack.tech.angular",
            "value": true,
            "provenance": "observed",
            "as_of": "2026-05-07",
            "source_url": "www.lancedb.com"
          }
        ]
      },
      "…": "…"
    }
  }
}
MCPfor agents
# any MCP client (Claude, agents)
const record = await bixel.get_company({ domain: "lancedb.com" })

# 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.