Applied Intuition website screenshot

Applied Intuition

Applied Intuition builds physical AI software and systems for intelligent machines, helping customers develop, test, validate, deploy, and operate autonomy and vehicle intelligence across automotive, defense, trucking, mining, construction, and agriculture. Its product lines include a Self-Driving System (a unified autonomy stack for land, air, and sea), Vehicle OS (an operating system for intelligent machines), and Tools for Vehicle Intelligence covering simulation, validation, data, training, and evaluation workflows. The company operates as a private enterprise vendor and does not currently publish a public developer API or self-service portal; this profile captures its public identity, security posture, and machine-readable llms.txt.

Applied Intuition is profiled on the APIs.io network. Tagged areas include Company, Autonomy, Physical AI, Autonomous Vehicles, and Simulation.

Applied Intuition’s developer surface includes engineering blog, support, and 9 more developer resources.

🌐 Visit website 📡 Source on GitHub
14.3/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5
0 APIs
CompanyAutonomyPhysical AIAutonomous VehiclesSimulationDefenseRobotics

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 14.3/100 · minimal
Contract Quality 0.0 / 25
Developer Ergonomics 1.3 / 20
Commercial Clarity 4.2 / 20
Operational Transparency 2.1 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 0/100 · 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 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 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/appliedintuition: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Security Posture 2

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

Appliedintuition Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Appliedintuition Vulnerability Disclosure

disclosure policy published

SECURITY

Resources

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt
LLMsTxt

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization
GitHubOrganization

Access & Security 3

Authentication, authorization, and security posture

Security
Security
 VulnerabilityDisclosure
VulnerabilityDisclosure
 DomainSecurity
DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support
Support

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService
TermsOfService
 PrivacyPolicy
PrivacyPolicy

Company 3

The organization behind the API

Website
Website
 About
About
 Blog
Blog

Source (apis.yml)

apis.yml Raw ↑ 
aid: appliedintuition
name: Applied Intuition
description: Applied Intuition builds physical AI software and systems for intelligent machines, helping customers develop,
  test, validate, deploy, and operate autonomy and vehicle intelligence across automotive, defense, trucking, mining, construction,
  and agriculture. Its product lines include a Self-Driving System (a unified autonomy stack for land, air, and sea), Vehicle
  OS (an operating system for intelligent machines), and Tools for Vehicle Intelligence covering simulation, validation, data,
  training, and evaluation workflows. The company operates as a private enterprise vendor and does not currently publish a
  public developer API or self-service portal; this profile captures its public identity, security posture, and machine-readable
  llms.txt.
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://cdn.sanity.io/images/a86leg7v/production/7e96db00d9bd9a6aa41194e2b8dbae2d8af500dd-1200x630.png?w=1200&h=630
url: https://raw.githubusercontent.com/api-evangelist/appliedintuition/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- bond-capital
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-17'
tags:
- Company
- Autonomy
- Physical AI
- Autonomous Vehicles
- Simulation
- Defense
- Robotics
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://appliedintuition.com
- type: About
  url: https://www.appliedintuition.com/about
- type: Blog
  url: https://www.appliedintuition.com/blog
- type: LLMsTxt
  url: llms/appliedintuition-llms.txt
- type: GitHubOrganization
  url: https://github.com/AppliedIntuition
- type: Support
  url: https://www.appliedintuition.com/contact
- type: Security
  url: security/appliedintuition-vulnerability-disclosure.yml
- type: VulnerabilityDisclosure
  url: security/appliedintuition-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/appliedintuition-domain-security.yml
- type: TermsOfService
  url: https://www.appliedintuition.com/terms-and-conditions
- type: PrivacyPolicy
  url: https://www.appliedintuition.com/privacy-policy
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence