# Airis Labs

**Canonical:** https://apis.io/providers/airislabsb51a/  
**Website:** https://www.airis-labs.com/  
**APIs profiled:** 0

Airis Labs (AI RIS Labs Ltd.) is a defense and public-safety AI company, founded in 2023 and based in Washington, D.C. and Tel Aviv, whose User-Generated Field Intelligence (UGFI) platform turns unstructured user-generated video and other visual sources - smartphones, social media, digital forensics, CCTV, body cams, drones and FMV - into structured, searchable intelligence for government, homeland security, law enforcement and military analysts, with agentic analyst workflows and self-hosted or sovereign-cloud deployment. The company markets a demo-led, customer-controlled product and publishes no public API, SDK, developer portal or machine-readable contract.

## Kin Score — 9.3 / 100 (minimal)

Scored 2026-10-09 under rubric 0.23.0. Trend: flat (+0.0 from 9.3).

| Facet | Score |
|---|---|
| Discoverability | 49.1 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 0.0 |
| Access Clarity | 21.1 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 16.4 (matched via fallback).

## 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 |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |

## Security (1)

- **Airislabsb51A Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Defense, Homeland Security, Public Safety, Video Intelligence, Computer Vision, Artificial Intelligence, Intelligence Analysis, AI Agents

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/airislabsb51a/). Scores are computed from the provider's own public artifacts under a published rubric.