Inferact

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.

Inferact is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Machine-Learning, LLM Inference, and Infrastructure.

🌐 Visit website 📡 Source on GitHub

5.0/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

0 APIs

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

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 5.0/100 · minimal

Contract Quality 0.0 / 25

Developer Ergonomics 0.0 / 20

Access Clarity 0.0 / 20

Operational Transparency 0.0 / 13

Contract Governance 0.0 / 12

Discoverability 5.0 / 10

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

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Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Inferact Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Resources

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Company 3

The organization behind the API

Website

Website

Careers

Careers

Twitter

Twitter

Source (apis.yml)

aid: inferact
name: Inferact
description: 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.
url: https://raw.githubusercontent.com/api-evangelist/inferact/refs/heads/main/apis.yml
deliveryModel:
  model: unknown
  open_source: false
  commercial: false
  callable_host: false
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - none
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://inferact.ai/og-image.jpg
x-type: company
x-source: vc-portfolio
x-backed-by:
- redpoint-ventures
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Artificial Intelligence
- Machine-Learning
- LLM Inference
- Infrastructure
- Open-Source
- Model Serving
tags_raw:
- Company
- Artificial Intelligence
- Machine Learning
- LLM Inference
- Infrastructure
- Open Source
- Model Serving
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://inferact.ai/
- type: Careers
  url: https://jobs.ashbyhq.com/Inferact
- type: Twitter
  url: https://x.com/inferact
- type: DomainSecurity
  url: security/inferact-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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