Qdrant

Qdrant Solutions GmbH·Qdrant.tech
Company Overview

As of September 3, 2026: Qdrant is a vector search engine built for developers that just closed a $50M Series B and holds SOC 2 Type II and HIPAA, but prices everything above the free tier behind a sales call.

The company has raised $85.5M across three rounds, with the Series B led by AVP in March 2026. It offers 21 stated capabilities and 11 integrations, and its compliance posture covers SOC 2 Type II, HIPAA, GDPR, CCPA, and CPRA with seven stated controls including encryption at rest and in transit and audit logs.

Backed by 83 dated facts
Drawn from 8 dimensions of the record, each dated and sourced.
The record, by dimensionevery dimension is its own page →
PricingBacked by 9 dated facts
Every value derives from a dated, sourced capture — open any fact for its source.
Hybrid
The free tier gets you started, but every paid tier, Hybrid Cloud, Private Cloud, and Standard, requires contacting sales, so there are no self-serve upgrade paths and no public prices to compare before a conversation.
Full pricing read →
Features
Focused feature set
With 21 stated capabilities and 11 integrations, the feature set is purposeful rather than sprawling; a developer evaluating fit should verify that the specific integrations they need are among the 11 listed before assuming coverage.
Backed by 32 dated facts
Every value derives from a dated, sourced capture — open any fact for its source.
Full read →
Security
Compliance-ready
SOC 2 Type II and HIPAA certifications, plus GDPR, CCPA, and CPRA compliance with audit logs and encryption at rest and in transit, means regulated-industry buyers have a documented baseline to work from, though no public audit reports or uptime history are referenced in the signals.
Backed by 13 dated facts
Every value derives from a dated, sourced capture — open any fact for its source.
Full read →
Stack
10 detected
Datadog, HubSpot, Mixpanel, and Netlify were detected on the live site, which tells a competitor more about their go-to-market and observability tooling than it tells a buyer, but it confirms the company is actively instrumented.
Backed by 10 dated facts
Every value derives from a dated, sourced capture — open any fact for its source.
Full read →
Positioning
Vector Search Engine
The homepage headline is "High-Performance Vector Search at Scale" aimed squarely at developers, so buyers outside that persona, such as non-technical procurement leads, will need a translation layer from their sales team.
Backed by 4 dated facts
Every value derives from a dated, sourced capture — open any fact for its source.
Full read →
Funding
$85.5M raised across 3 rounds
A $50M Series B closed March 2026 and led by AVP gives the company a meaningful runway extension; for a buyer, this reduces near-term vendor-viability risk.
Backed by 12 dated facts
Every value derives from a dated, sourced capture — open any fact for its source.
Full read →
Location
1 office stated
Only a San Francisco office is stated and no headquarters is formally listed; the registered legal entity is Qdrant Solutions GmbH, which suggests European roots, and buyers with data-residency requirements should clarify where operations and data actually sit.
Backed by 1 dated fact
Every value derives from a dated, sourced capture — open any fact for its source.
Full read →
Legal
Qdrant Solutions GmbH
The registered entity is Qdrant Solutions GmbH, but governing law, arbitration terms, class-action waiver, and auto-renewal clauses are not stated in the available signals, so enterprise buyers should expect to negotiate those terms from scratch.
Backed by 1 dated fact
Every value derives from a dated, sourced capture — open any fact for its source.
Full read →
Change History412 dated events on the record
Location details changed: Hq · high significance
Legal terms changed: Governing Law · high significance
Legal terms changed: Governing Law · high significance
Location details changed: Hq · high significance
Security signal added: SOC 2 Type II · high significance
Feature added: Azure Active Directory
Feature removed: Anomaly Detection · high significance
Get this record via API / MCPevery field dated and sourced
RESTopen tier
GET https://api.bixel.com/v1/companies/qdrant.tech

{
  "data": {
    "company": {
      "name": "Qdrant",
      "domain": "qdrant.tech",
      "categories": [
        "vector-databases"
      ]
    },
    "dimensions": {
      "security": {
        "facts": [
          {
            "key": "security.cert.hipaa",
            "value": true,
            "provenance": "company_stated",
            "as_of": "2026-09-03",
            "source_url": "qdrant.tech/security/"
          },
          {
            "key": "stack.tech.datadog",
            "value": true,
            "provenance": "observed",
            "as_of": "2026-09-03",
            "source_url": "qdrant.tech"
          }
        ]
      },
      "…": "…"
    }
  }
}
MCPfor agents
# any MCP client (Claude, agents)
const record = await bixel.get_company({ domain: "qdrant.tech" })

# 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.