# Rad AI

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

Rad AI is a San Francisco based healthcare technology company that builds generative and machine-learning software for radiology. Its products help radiologists work faster and reduce burnout: Rad AI Reporting is a generative AI reporting platform, Rad AI Impressions automatically generates customized report impressions (reported to save radiologists 60+ minutes per shift), and Rad AI Continuity manages follow-up of incidental findings. The company is SOC 2 Type II and HIPAA certified and is backed by Khosla Ventures. Rad AI markets its clinical products directly to health systems and imaging groups and does not currently publish a public developer API, developer portal, or SDKs; this profile captures its identity, security posture, and compliance program for the API Evangelist network.

## Kin Score — 10.8 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 10.8).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 2.4 |
| Commercial Clarity | 26.3 |
| Access Clarity | 26.3 |

Regulatory layer — **Health**: 18.8 (matched via tags).

## 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)

- **Radai Domain Security** — TLSv1.3 · HSTS · DNSSEC · DMARC
- **Radai Trust Center** — SOC 2 Type II, HIPAA

## Tags

Company, Healthcare, Radiology, Artificial Intelligence, Medical Imaging, Clinical

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