Cogniac website screenshot

Cogniac

Cogniac is a low-code enterprise AI computer-vision platform that turns visual data from cameras and image/video streams into automated visual inspection and defect detection across manufacturing, transportation, logistics, and government operations. Its cloud platform (CloudCore) exposes a multi-tenant public REST API at api.cogniac.io covering tenants, applications (classification, box/point detection, http_input, camera_capture, and integration types), subjects, media, detections, on-premise EdgeFlow GPU appliances, cloud-hosted CloudFlow, network cameras, deployment groups, and workflows. Cogniac ships an official Python SDK and CLI (plus an archived C# SDK) and a provider-published agent skill, and is SOC 2 compliant.

Cogniac is listed with 1 API on the APIs.io network. Tagged areas include Company, Computer Vision, Artificial Intelligence, Machine Learning, and Visual Inspection.

Cogniac’s developer surface includes documentation, API reference, getting-started guide, support, engineering blog, CLI, authentication, and 16 more developer resources.

26.9/100 thin ▬ flat Agent 9/100 agent aware Front door AI 4/6 moderate saas Full breakdown ↓
scored 2026-10-09 · rubric v0.23.0
1 API
CompanyComputer VisionArtificial IntelligenceMachine LearningVisual InspectionDefect DetectionEdge AIManufacturingIndustrial IoTMLOps

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-10-09 · rubric v0.23.0
Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.
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.
The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/cogniac: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

Cogniac Public API

Multi-tenant REST API for the Cogniac computer-vision platform (CloudCore): manage tenants, applications, subjects, media, detections, EdgeFlow/CloudFlow appliances, network cam...

Security Posture 2

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

Cogniac Authentication

apiKey/http/browserLogin · 4 schemes

SECURITY

Cogniac Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Get Started 3

Portal, sign-up, and the first successful call

Documentation 2

Reference material describing how the API behaves

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 4

Pagination, idempotency, versioning, errors, and events

Build 4

SDKs, sample code, and the tooling you integrate with

Access & Security 3

Authentication, authorization, and security posture

Operate 1

Status, limits, changes, and where to get help

Commercial 2

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: cogniac
name: Cogniac
description: Cogniac is a low-code enterprise AI computer-vision platform that turns visual data from cameras and image/video
  streams into automated visual inspection and defect detection across manufacturing, transportation, logistics, and government
  operations. Its cloud platform (CloudCore) exposes a multi-tenant public REST API at api.cogniac.io covering tenants, applications
  (classification, box/point detection, http_input, camera_capture, and integration types), subjects, media, detections, on-premise
  EdgeFlow GPU appliances, cloud-hosted CloudFlow, network cameras, deployment groups, and workflows. Cogniac ships an official
  Python SDK and CLI (plus an archived C# SDK) and a provider-published agent skill, and is SOC 2 compliant.
url: https://raw.githubusercontent.com/api-evangelist/cogniac/refs/heads/main/apis.yml
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  - security
  generated: '2026-09-03'
  method: derived
image: https://github.com/Cogniac.png
x-type: company
x-source: vc-portfolio
x-backed-by:
- wing-venture-capital
x-tier: enriched
x-tier-reason: enrichment-pipeline
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-18'
tags:
- Company
- Computer Vision
- Artificial Intelligence
- Machine Learning
- Visual Inspection
- Defect Detection
- Edge AI
- Manufacturing
- Industrial IoT
- MLOps
tags_raw:
- Company
- Computer Vision
- Artificial Intelligence
- Machine Learning
- Visual Inspection
- Defect Detection
- Edge AI
- Manufacturing
- Industrial IoT
- MLOps
- Computer-Vision
- Machine-Learning
apis:
- name: Cogniac Public API
  description: 'Multi-tenant REST API for the Cogniac computer-vision platform (CloudCore): manage tenants, applications,
    subjects, media, detections, EdgeFlow/CloudFlow appliances, network cameras, deployment groups, and workflows. Authenticated
    with a per-user API key (or username/password / SAML SSO via cogniac auth login); JSON request/response; cursor pagination;
    rate limited.'
  humanURL: https://docs.cogniac.io/
  baseURL: https://api.cogniac.io/
  tags:
  - Computer Vision
  - Machine Learning
  - Visual Inspection
  tags_raw:
  - Computer Vision
  - Machine Learning
  - Visual Inspection
  - Computer-Vision
  - Machine-Learning
  properties:
  - type: Documentation
    url: https://docs.cogniac.io/
  - type: Authentication
    url: authentication/cogniac-authentication.yml
  - type: Conventions
    url: conventions/cogniac-conventions.yml
  - type: ErrorCatalog
    url: errors/cogniac-error-codes.yml
  - type: DataModel
    url: data-model/cogniac-data-model.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://cogniac.ai/
- type: DeveloperPortal
  url: https://docs.cogniac.io/
- type: Documentation
  url: https://docs.cogniac.io/
- type: APIReference
  url: https://docs.cogniac.io/
- type: GettingStarted
  url: https://github.com/Cogniac/cogniac-sdk-py
- type: Login
  url: https://cogniac.io/app/login
- type: Support
  url: https://cogniac.ai/contact/
- type: Blog
  url: https://cogniac.ai/news/
- type: GitHubOrganization
  url: https://github.com/Cogniac
- type: TermsOfService
  url: https://cogniac.ai/terms-of-service/
- type: PrivacyPolicy
  url: https://cogniac.ai/privacy/
- type: Packages
  url: packages/cogniac-packages.yml
- type: SDKs
  url: packages/cogniac-packages.yml
- type: CLI
  url: cli/cogniac-cli.yml
- type: Authentication
  url: authentication/cogniac-authentication.yml
- type: Conventions
  url: conventions/cogniac-conventions.yml
- type: ErrorCatalog
  url: errors/cogniac-error-codes.yml
- type: DataModel
  url: data-model/cogniac-data-model.yml
- type: Conformance
  url: conformance/cogniac-conformance.yml
- type: Compliance
  url: https://cogniac.ai/news/cogniac-confirmed-as-soc2-compliant/
- type: DomainSecurity
  url: security/cogniac-domain-security.yml
- type: AgentSkill
  url: skills/_index.yml
- type: LLMsTxt
  url: llms/cogniac-llms.txt
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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