Bixel

Zilliz

Zilliz Inc.·Zilliz.com
Company Overview

As of July 21, 2026: Zilliz is a vector lakebase built by the creators of Milvus, and its $103M in funding backs a platform now targeting enterprises that have outgrown standalone vector databases.

Pricing runs from free to $197/month on self-serve tiers, with usage-based vector storage as low as $5 per million vectors/month on Tiered Storage and up to $126 per GB/month for dedicated storage. The platform claims 42 capabilities and 37 integrations, holds SOC 2 Type II, HIPAA, and ISO 27001, and posts a 99.95% uptime SLA backed by a currently operational status page.

High confidence · 160 dated facts
Corroborated across 10 dimensions of the record.
uptime SLA
99.95%
Jul 2026
open roles
12
Jul 2026
integrations
37
Jul 2026
technologies
18
observed
dated changes
533
Jul 2026
The record, by dimensionevery dimension is its own page →
PricingHigh confidence · 16 dated facts
Corroborated across multiple dated, sourced facts.
Self-serve, free tier
Free and Standard tiers cost nothing, Enterprise runs $197/month, and Business Critical plus BYOC require a sales call; a buyer scaling vector workloads will feel the usage-based costs quickly, since Performance Optimized vectors run $63 per million per month versus $5 on Tiered Storage, so storage tier selection is a real budget decision.
Full pricing read →
Features
Hybrid search platform
42 stated capabilities including hybrid search and RAG, plus 37 integrations, cover the core AI retrieval stack; the breadth is self-reported and buyers should verify which capabilities are available on which pricing tier before committing.
High confidence · 79 dated facts
Corroborated across multiple dated, sourced facts.Full read →
Security
Compliance-ready
SOC 2 Type II, HIPAA, and ISO 27001 certifications alongside GDPR compliance and 11 controls including Encryption at Rest, Data Residency, and SSO mean regulated-industry procurement teams have the paperwork they typically require.
High confidence · 15 dated facts
Corroborated across multiple dated, sourced facts.Full read →
Reliability
Dependable
The 99.95% uptime SLA is stated on the pricing page and the status page shows operational at time of observation; no public uptime history was found to validate the SLA against actual performance.
High confidence · 2 dated facts
Corroborated across multiple dated, sourced facts.Full read →
Hiring
Scaling
12 open roles across sales and engineering, with remote options, points to active growth rather than consolidation; buyers negotiating enterprise contracts may find sales team bandwidth is still being built out.
High confidence · 5 dated facts
Corroborated across multiple dated, sourced facts.Full read →
Stack
Detected + stated stack
Next.js, Nginx, Google Analytics, and Datadog were detected on the live site; job postings confirm Milvus as the core backend, which is consistent with the company's stated origin as Milvus creators but is not independently verifiable from the outside.
High confidence · 21 dated facts
Corroborated across multiple dated, sourced facts.Full read →
Positioning
Vector Lakebase
The homepage headline 'The Vector Lakebase for AI' frames Zilliz against Milvus, Elasticsearch, and Lance, targeting hundred-billion-scale workloads; buyers evaluating Elasticsearch for search or Lance for analytics will find Zilliz is actively making the case for consolidation onto one platform.
High confidence · 7 dated facts
Corroborated across multiple dated, sourced facts.Full read →
Funding
$103M raised across 2 rounds
$103M raised across a Series B and a Series B Extension, the most recent being a $60M round led by Prosperity7 Ventures in August 2022; no funding activity is visible after that date, so runway assumptions should account for roughly three years since the last close.
High confidence · 8 dated facts
Corroborated across multiple dated, sourced facts.Full read →
Location
Redwood City, US · +5 offices
Headquarters in Redwood City with offices in New York, Shanghai, London, Berlin, and Singapore gives Zilliz coverage across North America, Europe, and Asia-Pacific, which matters for enterprise buyers with data residency requirements in multiple regions.
Medium confidence · 6 dated facts
Grounded in a smaller fact set; directionally reliable.Full read →
Legal
Zilliz Inc.
The registered entity is Zilliz Inc., but incorporation jurisdiction, governing law, arbitration terms, class-action waiver, and auto-renewal policy are not stated publicly; enterprise buyers should request these terms before signing.
Medium confidence · 1 dated fact
Grounded in a smaller fact set; directionally reliable.Full read →
Change History533 dated events on the record
Feature added: On Demand Indexing
Feature added: Real Time Ingestion
Feature removed: Mmap · high significance
Feature removed: Reranking · high significance
Reliability changed: Status · high significance
Reliability changed: Status Page Url · high significance
Feature added: Benchmarking
Get this record via API / MCPevery field dated and sourced
RESTopen tier
GET https://api.bixel.com/v1/companies/zilliz.com

{
  "data": {
    "company": {
      "name": "Zilliz",
      "domain": "zilliz.com",
      "categories": [
        "vector-databases"
      ]
    },
    "dimensions": {
      "reliability": {
        "facts": [
          {
            "key": "reliability.sla_pct",
            "value": 99.95,
            "provenance": "company_stated",
            "as_of": "2026-07-20",
            "source_url": "zilliz.com/sla"
          },
          {
            "key": "security.cert.soc2-type-ii",
            "value": true,
            "provenance": "company_stated",
            "as_of": "2026-07-20",
            "source_url": "zilliz.com/trust-center"
          },
          {
            "key": "hiring.open_roles",
            "value": 12,
            "provenance": "company_stated",
            "as_of": "2026-07-21",
            "source_url": "jobs.lever.co/zilliz/02848077-ca83-461e-87cd-e8b95d7f0c51"
          }
        ]
      },
      "…": "…"
    }
  }
}
MCPfor agents
# any MCP client (Claude, agents)
const record = await bixel.get_company({ domain: "zilliz.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 confidence says so.

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