# Inferact

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

Inferact is a startup founded by the creators and core maintainers of vLLM, the widely adopted open-source large language model inference engine. The company exists to supercharge vLLM adoption, developing inference and serving optimizations at the frontier where models meet hardware at scale and flowing those improvements back into the open-source community. As of January 2026 the company had raised roughly $150M at an $800M valuation and is recruiting engineers and researchers. As of this enrichment pass Inferact publishes only a company announcement page at inferact.ai and does not yet expose a public API, developer portal, SDKs, or commercial product docs.

## 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)

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

## Tags

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

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