# DEFCON AI

**Canonical:** https://apis.io/providers/defcon-ai/  
**Website:** https://www.defconai.com/  
**APIs profiled:** 0

DEFCON AI is a modeling, simulation, and analysis (MS&A) company based in McLean, Virginia, building AI-driven optimization for contested logistics and mobility across defense and commercial operations. Founded in 2022, it develops mission-tailored optimization and intelligent-agent simulation products - including ARTIV (delivered to U.S. Air Force Air Mobility Command) and R-ALIGN for resilient multimodal logistics - that let planners rapidly generate and evaluate mission scenarios in dynamic, disrupted environments. The company was awarded a five-year, $115M prototype agreement supporting U.S. Marine Corps logistics modernization. DEFCON AI publishes no public API or developer platform.

## Kin Score — 8.5 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 8.5).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 7.1 |
| Commercial Clarity | 10.5 |
| Access Clarity | 10.5 |

## 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 (1)

- **Defcon Ai Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Ai Ml, Defense, National Security, Logistics, Modeling and Simulation, Optimization

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