Ambarella

Ambarella (NASDAQ: AMBA) is a fabless semiconductor company designing low-power system-on-chip (SoC) processors for edge AI and computer vision. Its CVflow architecture accelerates deep neural networks on-device for intelligent cameras, automotive ADAS and autonomous driving, robotics, security, and industrial applications. Ambarella does not publish a public HTTP/REST API; developers engage through the Cooper Developer Platform, the CVflow SDK and toolchain (compiler, debugger, Caffe/TensorFlow support), the Model Garden on HuggingFace, Agentic Blueprints, and an Apache-2.0 set of on-device Agent Skills for Cooper Foundry. This profile was surfaced as a portfolio company of Matrix Partners and enriched with the provider's real public developer, security, and agent surfaces.

Ambarella is profiled on the APIs.io network. Tagged areas include Company, Semiconductors, Edge AI, Computer Vision, and Artificial Intelligence.

Ambarella’s developer surface includes documentation, support, engineering blog, and 11 more developer resources.

🌐 Visit website 📡 Source on GitHub

17.0/100 emerging ▬ flat Agent 12/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5

0 APIs

CompanySemiconductorsEdge AIComputer VisionArtificial IntelligenceAutomotiveRoboticsAgents

Kin Score

Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5

Composite quality — 17.0/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 6.1 / 20

Commercial Clarity 2.1 / 20

Operational Transparency 2.1 / 13

Governance 0.0 / 12

Discoverability 6.8 / 10

Agent readiness — 12/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 15

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 5 / 5

Well-Known Catalog 4 / 4

Consent & Bot Identity 3 / 3

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/ambarella: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Get Started 1

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

AgentSkill

AgentSkill

WellKnown

WellKnown

LLMsTxt

LLMsTxt

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 4

Authentication, authorization, and security posture

SecurityTxt

SecurityTxt

VulnerabilityDisclosure

VulnerabilityDisclosure

Security

Security

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 1

Pricing, plans, and the legal terms of use

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: ambarella
name: Ambarella
description: 'Ambarella (NASDAQ: AMBA) is a fabless semiconductor company designing low-power system-on-chip (SoC) processors
  for edge AI and computer vision. Its CVflow architecture accelerates deep neural networks on-device for intelligent cameras,
  automotive ADAS and autonomous driving, robotics, security, and industrial applications. Ambarella does not publish a public
  HTTP/REST API; developers engage through the Cooper Developer Platform, the CVflow SDK and toolchain (compiler, debugger,
  Caffe/TensorFlow support), the Model Garden on HuggingFace, Agentic Blueprints, and an Apache-2.0 set of on-device Agent
  Skills for Cooper Foundry. This profile was surfaced as a portfolio company of Matrix Partners and enriched with the provider''s
  real public developer, security, and agent surfaces.'
url: https://raw.githubusercontent.com/api-evangelist/ambarella/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- matrix-partners
x-tier: stub
x-tier-reason: portfolio-lead
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-17'
image: https://www.ambarella.com/wp-content/uploads/amba.jpg
tags:
- Company
- Semiconductors
- Edge AI
- Computer Vision
- Artificial Intelligence
- Automotive
- Robotics
- Agents
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://ambarella.com
- type: DeveloperPortal
  url: https://www.ambarella.com/developer/
  name: Ambarella Developer Zone
- type: Documentation
  url: https://www.ambarella.com/developer/learning/
  name: Learning Center
- type: Support
  url: https://www.ambarella.com/developer/faqs/
  name: Developer FAQs
- type: Blog
  url: https://www.ambarella.com/blog/
  name: Ambarella Blog
- type: GitHubOrganization
  url: https://github.com/Ambarella-Inc
  name: Ambarella-Inc on GitHub
- type: PrivacyPolicy
  url: https://www.ambarella.com/privacy/
  name: Privacy Policy
- type: AgentSkill
  url: skills/_index.yml
  name: Cooper Runtime Agent Skills (9)
- type: SecurityTxt
  url: well-known/ambarella-security.txt
  name: security.txt (RFC 9116)
- type: WellKnown
  url: well-known/ambarella-well-known.yml
  name: Well-Known discovery index
- type: VulnerabilityDisclosure
  url: security/ambarella-vulnerability-disclosure.yml
  name: PSIRT vulnerability disclosure
- type: Security
  url: https://www.ambarella.com/.well-known/security.txt
  name: Security contact (PSIRT)
- type: DomainSecurity
  url: security/ambarella-domain-security.yml
  name: Domain security posture
- type: LLMsTxt
  url: llms/ambarella-llms.txt
  name: llms.txt
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence