Weaviate
As of October 20, 2026: Weaviate is an open-source AI vector database that bundles vector search, RAG, and memory under a free tier, with paid tiers topping out at $540/yr before usage costs.
The platform covers 27 stated capabilities including hybrid search, multi-tenancy, and RAG, with 7 integrations and a Query Agent capped at 30,000 requests per month on its add-on plan. SOC 2 Type II and HIPAA certifications are in place, and the 99.95% uptime SLA is stated on the pricing page, though no public uptime history was found to verify it.
Drawn from 9 dimensions of the record, each dated and sourced.
Every value derives from a dated, sourced capture — open any fact for its source.
Every value derives from a dated, sourced capture — open any fact for its source.Full read →
Every value derives from a dated, sourced capture — open any fact for its source.Full read →
Every value derives from a dated, sourced capture — open any fact for its source.Full read →
Every value derives from a dated, sourced capture — open any fact for its source.Full read →
Every value derives from a dated, sourced capture — open any fact for its source.Full read →
Every value derives from a dated, sourced capture — open any fact for its source.Full read →
Every value derives from a dated, sourced capture — open any fact for its source.Full read →
Every value derives from a dated, sourced capture — open any fact for its source.Full read →
No registered company joined yet. Would resolve with: a registry identifier for the entity; a legal page on the site naming the registered company.
None on record.
- GitHub weaviate · inferred
- LinkedIn weaviate-io · corroborated
- X weaviate_io · corroborated
- YouTube @weaviate · corroborated
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": "2026-09-23",
"source_url": "weaviate.io/SLA"
},
{
"key": "security.cert.hipaa",
"value": true,
"provenance": "company_stated",
"as_of": "2026-06-29",
"source_url": "docs.weaviate.io/cloud"
},
{
"key": "stack.tech.angular",
"value": true,
"provenance": "observed",
"as_of": "2026-06-29",
"source_url": "weaviate.io/learn"
}
]
},
"…": "…"
}
}
}# 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 overEvery 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.