Epsilla
As of October 20, 2026: Epsilla is an AI agent platform targeting enterprise buyers with a no-code, multi-tenant architecture and a pricing ceiling that jumps from $249/mo to contact-sales.
The Professional Tier at $249/month covers core RAG and multi-tenancy, but storage, seats, and white-labeling each carry separate per-unit fees, so real deployment costs stack quickly. GDPR compliance plus RBAC, SAML, and SSO are stated; the 99.9% uptime SLA is published on the pricing page with no public uptime history to verify it against.
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 epsilla-cloud · inferred
- LinkedIn epsilla · corroborated
- X epsilla_inc · corroborated
- YouTube @epsilla-kp5cx · inferred
GET https://api.bixel.com/v1/companies/epsilla.com
{
"data": {
"company": {
"name": "Epsilla",
"domain": "epsilla.com",
"categories": [
"vector-databases"
]
},
"dimensions": {
"reliability": {
"facts": [
{
"key": "reliability.sla_pct",
"value": 99.9,
"provenance": "company_stated",
"as_of": "2026-09-14",
"source_url": "www.epsilla.com/sla"
},
{
"key": "hiring.open_roles",
"value": 4,
"provenance": "company_stated",
"as_of": "2026-09-14",
"source_url": "www.epsilla.com/careers"
},
{
"key": "stack.tech.cloudflare",
"value": true,
"provenance": "observed",
"as_of": "2026-09-10",
"source_url": "docs.epsilla.com"
}
]
},
"…": "…"
}
}
}# any MCP client (Claude, agents)
const record = await bixel.get_company({ domain: "epsilla.com" })
# 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.