Inferact website screenshot

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, Inference, and Infrastructure.

🌐 Visit website📡 Profile data on GitHub
3.4/100 minimal ▬ flat Agent 0/100 human only Front door AI 6/6 dominant Full breakdown ↓
scored 2026-10-23 · rubric v0.25.0 · Show this score on your site →
0 APIs
CompanyArtificial IntelligenceMachine LearningInferenceInfrastructureOpen SourceModel Serving

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-10-23 · rubric v0.25.0
Composite quality — 3.4/100 · minimal
Contract Quality 0.0 / 21
Developer Ergonomics 0.0 / 17
Access Clarity 0.0 / 17
Operational Transparency 0.0 / 11
Contract Governance 0.0 / 10
Discoverability 4.1 / 9
Regulatory Posture 0.8 / 15
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
Pagination 5 / 5
Distinct Operations 3 / 3
Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.
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.
The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.
Show this score on your site. Kin Score badge preview for Inferact It updates itself when the score changes. Paste this where you link to your API docs: 
<a href="https://apis.io/providers/inferact/"><img src="https://apis.io/badge/inferact/card.svg" alt="Inferact on APIs.io — Kin Score by API Evangelist"></a>
Other styles, a README pill and a shields.io endpoint are on the badge page.
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/inferact: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

MarketPositionDepthRegistered MCP serverDeclares compatibility
Hugging Face Hub Organisations undeclared - - -

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

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)

apis.yml Raw ↑ 
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
- Inference
- Infrastructure
- Open Source
- Model Serving
tags_raw:
- Company
- Artificial Intelligence
- Machine Learning
- LLM Inference
- Infrastructure
- Open Source
- Model Serving
- Machine-Learning
- Open-Source
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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