Bixel

Weaviate

Weaviate B.V.·Weaviate.io
Company Overview

As of July 21, 2026: Weaviate is an open-source AI database built around vector search and RAG, with a free tier that scales to enterprise through four distinct pricing tiers.

The managed cloud runs from $0 (Free Forever) through $400/mo (Premium Shared) before hitting contact-sales territory on dedicated infrastructure, with per-unit costs for vector dimensions dropping from $0.00465 to $0.002718 per 1M as you move up tiers. Weaviate holds SOC 2 Type II and HIPAA certifications alongside GDPR coverage, and the platform states a 99.95% uptime SLA, though no public uptime history is visible to verify it.

High confidence · 132 dated facts
Corroborated across 10 dimensions of the record.
uptime SLA
99.95%
Jul 2026
integrations
11
Jul 2026
technologies
17
observed
dated changes
462
Jul 2026
The record, by dimensionevery dimension is its own page →
PricingHigh confidence · 23 dated facts
Corroborated across multiple dated, sourced facts.
Self-serve, free tier
The Free Forever tier costs nothing; Flex starts at $45/mo and charges $0.00465 per 1M vector dimensions plus $0.12/GiB storage, while Premium Shared at $400/mo cuts those rates to $0.003875 and $0.10 respectively. A developer building a small prototype stays free, but anyone scaling vector volume or storage will want to model usage costs carefully before committing to a tier, since backup costs on Flex ($0.0264/GiB) run more than six times the Premium Shared rate ($0.0042/GiB).
Full pricing read →
Features
Hybrid search platform
The platform states 41 capabilities including hybrid search, RAG, and multi-tenancy, backed by 11 integrations. That breadth means a developer can likely avoid stitching together separate retrieval and memory layers, but buyers should verify which capabilities are available on Free Forever versus paid tiers before building against them.
High confidence · 52 dated facts
Corroborated across multiple dated, sourced facts.Full read →
Security
Compliance-ready
SOC 2 Type II and HIPAA certifications, GDPR coverage, and 9 stated controls including RBAC, SSO, and SAML make this viable for regulated-industry buyers. Enterprise procurement teams will find the compliance checklist largely pre-filled; the gap is that governing law, arbitration terms, and auto-renewal clauses are not publicly stated.
High confidence · 12 dated facts
Corroborated across multiple dated, sourced facts.Full read →
Reliability
Dependable
Weaviate states a 99.95% uptime SLA, which translates to roughly 4.4 hours of allowable downtime per year. The SLA is stated on their pricing page; no public uptime history or status-page track record is available to back it.
High confidence · 1 dated fact
Corroborated across multiple dated, sourced facts.Full read →
Hiring
Actively hiring
The company is actively hiring with a remote-friendly model, which for a buyer means the team is likely growing and support or product capacity may be in flux. For a competitor, the open roles are a readable signal of where the product is heading.
Medium confidence · 2 dated facts
Grounded in a smaller fact set; directionally reliable.Full read →
Stack
Detected + stated stack
The live site runs Tailwind CSS and is hosted on Netlify; job postings state Go and Python for the backend, with AWS and Google Cloud as infrastructure targets. The Go/Python core is a practical choice for performance-sensitive vector workloads, and multi-cloud deployment on AWS and Google Cloud reduces lock-in risk for enterprise buyers.
High confidence · 27 dated facts
Corroborated across multiple dated, sourced facts.Full read →
Positioning
AI Database
The homepage headline is "Design, build and ship complete AI experiences" with a sub-line calling out vector search, RAG, and memory in one open-source platform. The framing is squarely at developers, not IT buyers, which shapes how sales cycles will run and where community adoption fits into the growth model.
High confidence · 4 dated facts
Corroborated across multiple dated, sourced facts.Full read →
Funding
$16M raised across 2 rounds
Weaviate has raised $16M across a Series A and a Series B, with the Series B closing in April 2023 and led by Index Ventures. That total is modest for an infrastructure company competing in a well-funded category, so buyers evaluating long-term vendor stability should weigh it accordingly.
Medium confidence · 7 dated facts
Grounded in a smaller fact set; directionally reliable.Full read →
Location
Amsterdam, NL · remote-first
Headquarters are in Amsterdam, NL, with a remote-first work model. The Dutch base means EU data residency is a natural conversation, though buyers should confirm specific data-region options before assuming EU-only storage.
High confidence · 2 dated facts
Corroborated across multiple dated, sourced facts.Full read →
Legal
Weaviate B.V. · NL
The contracting entity is Weaviate B.V., incorporated in the Netherlands. Governing law, arbitration venue, class-action waiver, and auto-renewal terms are not publicly stated, so enterprise legal review will need to surface those before a contract is signed.
High confidence · 2 dated facts
Corroborated across multiple dated, sourced facts.Full read →
Change History462 dated events on the record
Technology added: Remix
Technology added: Sentry
Feature added: Agents Memory
Feature added: Console Metrics
Feature added: Context Management
Feature added: Dedicated Deployment
Feature added: Kubernetes
Get this record via API / MCPevery field dated and sourced
RESTopen tier
GET https://api.bixel.com/v1/companies/weaviate.io

{
  "data": {
    "company": {
      "name": "Weaviate",
      "domain": "weaviate.io",
      "categories": [
        "vector-databases"
      ]
    },
    "dimensions": {
      "reliability": {
        "facts": [
          {
            "key": "reliability.sla_pct",
            "value": 99.95,
            "provenance": "company_stated",
            "as_of": "2026-07-20",
            "source_url": "weaviate.io/SLA"
          },
          {
            "key": "security.cert.soc2-type-ii",
            "value": true,
            "provenance": "company_stated",
            "as_of": "2026-07-20",
            "source_url": "weaviate.io/pricing"
          },
          {
            "key": "stack.tech.tailwindcss",
            "value": true,
            "provenance": "observed",
            "as_of": "2026-07-20",
            "source_url": "weaviate.io"
          }
        ]
      },
      "…": "…"
    }
  }
}
MCPfor agents
# any MCP client (Claude, agents)
const record = await bixel.get_company({ domain: "weaviate.io" })

# 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.