# Gesund

**Canonical:** https://apis.io/providers/gesund/  
**Website:** https://gesund.ai  
**APIs profiled:** 0

Gesund.ai is a governance and validation platform for regulated clinical AI, providing infrastructure to build, validate, deploy, monitor, and update medical AI models across regulatory jurisdictions and stakeholders. Its offerings include an AI CRO (contract research organization) delivering independent validation studies for medical AI models, an AI Factory to accelerate in-house model R&D cycles, and a free Validation Hub for testing models against real-world clinical data. Backed by 500 Global and headquartered in Cambridge, Massachusetts, the company focuses on inspection-ready evidence and FDA/QMSR-aligned regulatory compliance for clinical AI teams. The platform is delivered through a hosted web application and currently exposes no public developer API.

## Kin Score — 9.9 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 9.9).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 11.9 |
| Commercial Clarity | 17.1 |
| Access Clarity | 17.1 |

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)

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

## Tags

Company, Healthcare, Artificial Intelligence, Clinical AI, Medical AI, Governance, Validation, Regulatory Compliance, Machine-Learning

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