Elementary

Elementary is an AI-powered machine-vision inspection company for manufacturing, founded in 2017 in South Pasadena, California (originally Elementary Robotics). Its VisionStream self-training edge AI detects production defects in seconds without rules, labeling, or tuning, while the QualityOS cloud platform delivers traceability, analytics, and MES/ERP integration across production lines. Elementary inspects over one billion parts annually for Fortune 500 manufacturers across food & beverage, automotive, consumer packaged goods, electronics, and life sciences, and is backed by Rockwell Automation, Tiger Global, Toyota Ventures, Threshold Ventures, Fika Ventures, and Idealab. The company exposes no public developer API; this profile captures its identity, security posture, and public web properties.

Elementary is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Machine Vision, Computer-Vision, and Manufacturing.

Elementary’s developer surface includes engineering blog, support, and 8 more developer resources.

🌐 Visit website 📡 Source on GitHub

7.6/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

0 APIs

Company Artificial Intelligence Machine Vision Computer-Vision Manufacturing Quality Inspection Industrial Automation Defect Detection

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 7.6/100 · minimal

Contract Quality 0.0 / 25

Developer Ergonomics 0.5 / 20

Access Clarity 2.1 / 20

Operational Transparency 0.0 / 13

Contract Governance 0.0 / 12

Discoverability 5.0 / 10

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

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Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Elementary Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

Support

Support

HelpCenter

HelpCenter

Commercial 1

Pricing, plans, and the legal terms of use

PrivacyPolicy

PrivacyPolicy

Company 6

The organization behind the API

Website

About

Blog

Partners

Careers

LinkedIn

Source (apis.yml)

aid: elementary
name: Elementary
description: Elementary is an AI-powered machine-vision inspection company for manufacturing, founded in 2017 in South Pasadena,
  California (originally Elementary Robotics). Its VisionStream self-training edge AI detects production defects in seconds
  without rules, labeling, or tuning, while the QualityOS cloud platform delivers traceability, analytics, and MES/ERP integration
  across production lines. Elementary inspects over one billion parts annually for Fortune 500 manufacturers across food &
  beverage, automotive, consumer packaged goods, electronics, and life sciences, and is backed by Rockwell Automation, Tiger
  Global, Toyota Ventures, Threshold Ventures, Fika Ventures, and Idealab. The company exposes no public developer API; this
  profile captures its identity, security posture, and public web properties.
url: https://raw.githubusercontent.com/api-evangelist/elementary/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- threshold-ventures
x-tier: stub
x-tier-reason: portfolio-lead
deliveryModel:
  model: unknown
  open_source: false
  commercial: false
  callable_host: false
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - none
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://assets.elementaryml.com/og-image-001.webp
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Artificial Intelligence
- Machine Vision
- Computer-Vision
- Manufacturing
- Quality Inspection
- Industrial Automation
- Defect Detection
tags_raw:
- Company
- Ai
- Machine Vision
- Computer Vision
- Manufacturing
- Quality Inspection
- Industrial Automation
- Defect Detection
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/elementary-domain-security.yml
- type: Website
  url: https://www.elementaryml.com/
- type: About
  url: https://www.elementaryml.com/about
- type: Blog
  url: https://www.elementaryml.com/blog
- type: Support
  url: https://elementarymlsupport.zendesk.com/
- type: HelpCenter
  url: https://elementarymlsupport.zendesk.com/
- type: PrivacyPolicy
  url: https://www.elementaryml.com/privacy-policy
- type: Partners
  url: https://www.elementaryml.com/partners
- type: Careers
  url: https://elementary.bamboohr.com/careers
- type: LinkedIn
  url: https://www.linkedin.com/company/elementary-ml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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