# Nines

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

Nines was a teleradiology and medical-imaging AI startup founded in 2017 and backed by Accel and 8VC (a $16.5M Series A in 2019), co-founded by CEO David Stavens. It built FDA-cleared AI algorithms — NinesAI Emergent Triage (for intracranial hemorrhage and mass effect) and NinesMeasure (a lung-nodule algorithm) — alongside a live teleradiology practice. On 2022-02-18, Sirona Medical acquired Nines' AI technology, clinical data pipeline, machine-learning engines, and key personnel, folding the FDA-cleared devices into RadOS, Sirona's cloud-native Radiology Operating System (reporter, viewer, PACS, worklist, and platform AI). The nines.com domain now redirects to sironamedical.com. There is no public developer API today; a RadOS "Amplify" SDK (TypeScript/Python, REST + streaming APIs, event subscriptions) is on Sirona's roadmap as an early-access program for design partners.

## Kin Score — 15.4 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 15.4).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 18.2 |
| Contract Governance | 18.2 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 2.4 |
| Commercial Clarity | 39.5 |
| Access Clarity | 39.5 |

Regulatory layer — **Health**: 12.5 (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 (1)

- **Nines Trust Center** — SOC 2 Type II, HIPAA, FDA Class I, ISO 13485, EU MDR

## Tags

Company, Artificial Intelligence, Radiology, Medical Imaging, Healthcare, Teleradiology, DICOM

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