# Applied Intuition

**Canonical:** https://apis.io/providers/appliedintuition/  
**Website:** https://appliedintuition.com  
**APIs profiled:** 0

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.

## Kin Score — 13.1 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 13.1).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 13.2 |
| Developer Ergonomics | 7.1 |
| Commercial Clarity | 21.1 |
| Access Clarity | 21.1 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (2)

- **Appliedintuition Domain Security** — TLSv1.3 · HSTS · DMARC
- **Appliedintuition Vulnerability Disclosure** — disclosure policy published

## Tags

Company, Autonomy, Physical AI, Autonomous Vehicles, Simulation, Defense, Robotics

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/appliedintuition/). Scores are computed from the provider's own public artifacts under a published rubric.
