# RadixArk

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

RadixArk is a deep-tech AI-infrastructure company on a mission to make frontier-level AI infrastructure open and accessible to everyone ("Build AI for all"). Backed by a $100M seed round announced in May 2026, RadixArk builds open-source infrastructure and managed tooling for training and serving modern AI models at scale. Its flagship open-source projects are SGLang, a fast and flexible inference/serving engine for large language and vision-language models, and Miles, an enterprise-facing reinforcement-learning framework for LLM and VLM post-training (with a companion Miles Diffusion framework for large-scale diffusion training). RadixArk also operates a managed platform at platform.radixark.com serving developers, enterprises, and research labs. The company does not yet expose a public REST/HTTP API; this profile captures its open-source packages, identity, and security posture pending an API surface.

## Kin Score — 11.0 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 11.0).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 2.6 |
| Developer Ergonomics | 7.1 |
| Commercial Clarity | 21.1 |
| Access Clarity | 21.1 |

## 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)

- **Radixark Domain Security** — TLSv1.3 · HSTS · DNSSEC

## Tags

Company, Artificial Intelligence, AI Infrastructure, Machine-Learning, LLM, Inference, Reinforcement Learning, Open-Source

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