# Inferact

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

Inferact is an AI inference infrastructure startup founded by the creators and core maintainers of vLLM, the most popular open-source LLM inference engine. Its mission is to grow vLLM as the world's AI inference engine and to make serving AI models effortless — as simple as spinning up a serverless database — by optimizing inference performance across diverse hardware, supporting emerging model architectures (mixture-of-experts, multimodal, and agentic), and expanding accelerator compatibility while keeping all optimizations flowing back to the open-source community. vLLM supports 500+ model architectures across 200+ accelerator types with 2,000+ contributors. This profile was surfaced as a venture-portfolio lead and enriched with verifiable public identity and domain-security signals; the company does not yet publish a public API, developer portal, or specification.

## Kin Score — 5.0 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 5.0).

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

## 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)

- **Inferact Domain Security** — TLSv1.3 · HSTS · DNSSEC · DMARC

## Tags

Company, Artificial Intelligence, Machine-Learning, LLM Inference, Infrastructure, Open-Source, Model Serving

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