Ai Fabrik

AI Fabrik is an infrastructure company building an edge inference delivery network for high-performance AI tokens. Incubated within Gruve and led by founder Tarun Raisoni alongside Swati Deshpande and Tanuj Mohan, the company has deconstructed the traditional data center model and rebuilt every layer for real-time AI, delivering distributed inference close to users and cloud providers with sub-20ms latency, cost efficiency, and built-in compliance. AI Fabrik is deploying five initial production sites with 6,000+ B300 GPUs launching in 2026, backed by Mayfield, Xora (Temasek), Acclimate Ventures, and Cisco Investments.

Ai Fabrik is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Inference, Infrastructure, and Edge Computing.

Ai Fabrik’s developer surface includes engineering blog, support, and 10 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

10.8/100 minimal ▬ flat Agent 3/100 human only Front door AI 6/6 dominant Heartbeat 34/100 slowing saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

0 APIs

Company Artificial Intelligence Inference Infrastructure Edge Computing GPU Data Center Real-Time AI

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 10.8/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 1.2 / 17

Access Clarity 3.6 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.7 / 9

Regulatory Posture 1.9 / 15

Agent readiness — 3/100 · 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 7 / 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

MCP Tool Quality 6 / 6

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/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey)
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes

12 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points
Developer Ergonomics scores 7.1 — up to +18.6 composite points
Access Clarity scores 21.1 — up to +15.8 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

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 the provider profile at artifacts.apis.io/ai-fabrik/apis.yml: open an issue on github.com/api-evangelist/ai-fabrik to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Ai Fabrik API pricing

Pricing Plans 1

Published pricing tiers and plan structures.

Ai Fabrik Plans Pricing

0 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Ai Fabrik Rate Limits

0 limits

RATE LIMITS

Security Posture 1

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

Ai Fabrik Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

RateLimits

RateLimits

Support

Support

Commercial 3

Pricing, plans, and the legal terms of use

Plans

Plans

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 5

The organization behind the API

Website

Blog

BlogRSS

Careers

LinkedIn

Source (apis.yml)

aid: ai-fabrik
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  probe_state: none
  source:
  - rate-limits
  - security
  generated: '2026-11-06'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/ai-fabrik.png
name: Ai Fabrik
description: AI Fabrik is an infrastructure company building an edge inference delivery network for high-performance AI tokens.
  Incubated within Gruve and led by founder Tarun Raisoni alongside Swati Deshpande and Tanuj Mohan, the company has deconstructed
  the traditional data center model and rebuilt every layer for real-time AI, delivering distributed inference close to users
  and cloud providers with sub-20ms latency, cost efficiency, and built-in compliance. AI Fabrik is deploying five initial
  production sites with 6,000+ B300 GPUs launching in 2026, backed by Mayfield, Xora (Temasek), Acclimate Ventures, and Cisco
  Investments.
url: https://raw.githubusercontent.com/api-evangelist/ai-fabrik/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- mayfield
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-08-10'
tags:
- Company
- Artificial Intelligence
- Inference
- Infrastructure
- Edge Computing
- GPU
- Data Center
- Real-Time AI
tags_raw:
- Company
- Artificial Intelligence
- Inference
- Infrastructure
- Edge Computing
- GPU
- Data Center
- Real-Time AI
- Data-Center
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/ai-fabrik-plans-pricing.yml
- type: RateLimits
  url: rate-limits/ai-fabrik-rate-limits.yml
- type: Website
  url: https://aifabrik.com
- type: Blog
  url: https://aifabrik.com/insights/
- type: BlogRSS
  url: https://aifabrik.com/feed/
- type: Support
  url: https://aifabrik.com/contact/
- type: Careers
  url: https://aifabrik.com/job-openings/
- type: TermsOfService
  url: https://aifabrik.com/terms-of-use/
- type: PrivacyPolicy
  url: https://aifabrik.com/privacy-policy/
- type: LinkedIn
  url: https://www.linkedin.com/company/aifabrik/
- type: DomainSecurity
  url: security/ai-fabrik-domain-security.yml
- type: LLMsTxt
  url: llms/ai-fabrik-llms.txt
x-enrichment:
  date: '2026-08-10'
  status: minimal
  artifacts_added: 4
  pass: local-v1
x-coverage:
  state: none
  reason: no-developer-program
  detail: AI Fabrik is a pre-launch edge-inference infrastructure company whose entire public surface is a ten-page WordPress
    marketing site — /docs, /developers, /api and /pricing all return 404, no api./docs./developer./app./console. subdomain
    resolves in DNS, and the only intake is a contact form, with the first of five production sites not due online until July
    2026.
  evidence:
  - url: https://aifabrik.com/developers
    status: 404
  - url: https://aifabrik.com/docs
    status: 404
  - url: https://aifabrik.com/pricing
    status: 404
  - url: https://aifabrik.com/llms.txt
    status: 404
  - url: https://aifabrik.com/.well-known/agent-card.json
    status: 404
  - url: https://aifabrik.com/page-sitemap.xml
    status: 200
  checked: '2026-08-10'

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