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 13 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

16.3/100 emerging ▬ flat Agent 0/100 human only Front door AI 5/6 prominent Heartbeat 0/100 dormant saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

0 APIs

Company Autonomy Physical AI Autonomous Vehicles Simulation Defense Robotics

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 16.3/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 1.2 / 17

Access Clarity 5.6 / 17

Operational Transparency 1.5 / 11

Contract Governance 0.0 / 10

Discoverability 4.7 / 9

Regulatory Posture 3.3 / 15

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

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

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/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey)
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes

13 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points
Developer Ergonomics scores 7.1 — up to +18.6 composite points
Access Clarity scores 32.9 — up to +13.4 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

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 the provider profile at artifacts.apis.io/appliedintuition/apis.yml: open an issue on github.com/api-evangelist/appliedintuition to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
Autonomous Vehicles (self-driving testing, deployment, robotaxi service)	standard	17.2 (thin)	-	-

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

Security Posture 3

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

Appliedintuition Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Appliedintuition Vulnerability Disclosure

no policy recorded

SECURITY

Appliedintuition Trust Center

SOC 2, ISO 27001

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 5

Authentication, authorization, and security posture

Compliance

Compliance

TrustCenter

TrustCenter

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

Other 2

Properties that don't map to a standard resource type

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

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.
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
  probe_state: none
  source:
  - security
  generated: '2026-11-06'
  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: profiled
x-tier-reason: enrichment pass 2026-10-20 (local-v5; was portfolio-lead)
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-10-20'
tags:
- Company
- Autonomy
- Physical AI
- Autonomous Vehicles
- Simulation
- Defense
- Robotics
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Compliance
  url: https://www.appliedintuition.com/security
- type: Hosts
  url: hosts/appliedintuition-hosts.yml
- type: Vendors
  url: vendors/appliedintuition-vendors.yml
- type: TrustCenter
  url: security/appliedintuition-trust-center.yml
- 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
apis: []
x-enrichment:
  date: '2026-10-20'
  status: minimal
  artifacts_added: 5
  pass: local-v5
x-coverage:
  state: none
  reason: no-developer-program
  detail: Applied Intuition sells autonomy and simulation software to enterprise and defense customers through sales contact
    only; no api/docs/developer host resolves and its GitHub org holds only forks of third-party projects.
  evidence:
  - url: https://www.appliedintuition.com/
    status: 200
  - url: https://www.appliedintuition.com/contact
    status: 200
  - url: https://api.appliedintuition.com/
    status: 0
  checked: '2026-10-20'

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