Bixel

Activeloop

Snark AI, Inc.·Activeloop.ai
Limited coverage

Activeloop's site sits behind a bot-verification wall that Bixel does not evade. Coverage is limited to signals observable off-site (job postings, DNS, subdomain surfaces) until BixelBot's verified-bot admission clears.

Company Overview

As of July 20, 2026: Activeloop is an AI data platform built around RAG that has raised $11M at Series A and holds SOC 2 Type II, making it a credible but early-stage vendor for enterprise buyers.

The platform covers 14 stated capabilities and 23 integrations, giving enterprise teams a broad surface for connecting AI pipelines without custom glue code. SOC 2 Type II, GDPR, CCPA, SAML, and RBAC clear the minimum bar most enterprise procurement teams require, though no public audit history or uptime record is visible.

High confidence · 60 dated facts
Corroborated across 7 dimensions of the record.
integrations
23
Jul 2026
technologies
3
observed
dated changes
210
Jul 2026
The record, by dimensionevery dimension is its own page →
FeaturesHigh confidence · 37 dated facts
Corroborated across multiple dated, sourced facts.
RAG platform
14 stated capabilities including RAG and 23 integrations cover the core enterprise AI pipeline stack; buyers should verify depth of each capability against their specific workload before assuming feature parity with larger platforms.
Full features read →
Security
Baseline security
SOC 2 Type II plus GDPR and CCPA compliance, with SAML and RBAC in place, satisfies standard enterprise procurement checklists; no public audit report or uptime history is available to independently verify the claims.
Medium confidence · 5 dated facts
Grounded in a smaller fact set; directionally reliable.Full read →
Stack
9 detected
The live site runs on Gatsby, Tailwind CSS, and Customer.io, which are standard front-end and marketing choices and say little about backend reliability; infrastructure details were not independently observed.
High confidence · 9 dated facts
Corroborated across multiple dated, sourced facts.Full read →
Positioning
AI Data Platform
Activeloop frames itself as an AI data platform for enterprise buyers, but with $11M raised it is still a small vendor, and enterprise buyers should weigh that against their tolerance for vendor concentration risk.
Medium confidence · 2 dated facts
Grounded in a smaller fact set; directionally reliable.Full read →
Funding
$11M raised
A single Series A of $11M closed in March 2024 is a modest capital base for an enterprise platform; buyers should ask about runway and roadmap commitments before signing multi-year contracts.
High confidence · 3 dated facts
Corroborated across multiple dated, sourced facts.Full read →
Location
Remote-first, no HQ
Remote-first with no stated headquarters means no geographic anchor for support or escalation; enterprise buyers with data residency requirements should confirm where infrastructure actually runs.
Medium confidence · 1 dated fact
Grounded in a smaller fact set; directionally reliable.Full read →
Legal
Snark AI, Inc.
The registered entity is Snark AI, Inc., terms are governed by California law, and subscriptions auto-renew per the stated terms; buyers should flag the auto-renewal clause during contract review and confirm no class-action waiver is buried in the agreement.
High confidence · 3 dated facts
Corroborated across multiple dated, sourced facts.Full read →
Change History210 dated events on the record
Technology added: Customer IO
Technology added: Gatsby
Technology added: Tailwind CSS
Feature removed: VPC Deployment · high significance
Feature removed: Multi Modal · high significance
Feature removed: Fine Tuning · high significance
Feature removed: GCP · high significance
Get this record via API / MCPevery field dated and sourced
RESTopen tier
GET https://api.bixel.com/v1/companies/activeloop.ai

{
  "data": {
    "company": {
      "name": "Activeloop",
      "domain": "activeloop.ai",
      "categories": [
        "vector-databases"
      ]
    },
    "dimensions": {
      "security": {
        "facts": [
          {
            "key": "security.cert.soc2-type-ii",
            "value": true,
            "provenance": "company_stated",
            "as_of": "2026-07-16",
            "source_url": "www.activeloop.ai/resources/the-future-of-ai-data-we-raised-series-a-to-bring-the-database-for-ai-to-fortune-500/"
          },
          {
            "key": "stack.tech.gatsby",
            "value": true,
            "provenance": "observed",
            "as_of": "2026-07-17",
            "source_url": "activeloop.ai/privacy"
          }
        ]
      },
      "…": "…"
    }
  }
}
MCPfor agents
# any MCP client (Claude, agents)
const record = await bixel.get_company({ domain: "activeloop.ai" })

# 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.