Belvedir website screenshot

Belvedir

Belvedir is an autonomous private AI platform built by Fractal Machine Research, Inc. (a Y Combinator Summer 2026 company). It lets individuals and teams train custom AI models and memory systems, host them privately on single-tenant infrastructure, and continually improve them through use: it collects agent calls and production traces, converts those traces into training data, and fine-tunes models with reinforcement learning in a continuous loop before redeploying on private infrastructure. The stated aim is to let everyday individuals own their own artificial intelligence rather than rent it from a shared provider. The product is in closed alpha and access is currently granted by request; there is no public API or developer documentation yet, so this profile captures the company's public identity and will be enriched as a developer surface appears.

Belvedir is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Machine Learning, Reinforcement Learning, and Private AI.

Belvedir’s developer surface includes engineering blog, changelog, and 7 more developer resources.

🌐 Visit website 📡 Source on GitHub
13.5/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5
0 APIs
CompanyArtificial IntelligenceMachine LearningReinforcement LearningPrivate AIFine-TuningLLMAgentsModel Hosting

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 13.5/100 · minimal
Contract Quality 0.0 / 25
Developer Ergonomics 0.4 / 20
Commercial Clarity 4.2 / 20
Operational Transparency 2.1 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 0/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
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
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/belvedir: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Security Posture 1

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

Belvedir Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity
DomainSecurity

Operate 2

Status, limits, changes, and where to get help

ChangeLog
ChangeLog
 ChangeLog
ChangeLog

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService
TermsOfService
 PrivacyPolicy
PrivacyPolicy

Company 4

The organization behind the API

Website
Website
 Blog
Blog
 LinkedIn
LinkedIn
 Twitter
Twitter

Source (apis.yml)

apis.yml Raw ↑ 
aid: belvedir
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://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/belvedir.png
name: Belvedir
description: 'Belvedir is an autonomous private AI platform built by Fractal Machine Research, Inc. (a Y Combinator Summer
  2026 company). It lets individuals and teams train custom AI models and memory systems, host them privately on single-tenant
  infrastructure, and continually improve them through use: it collects agent calls and production traces, converts those
  traces into training data, and fine-tunes models with reinforcement learning in a continuous loop before redeploying on
  private infrastructure. The stated aim is to let everyday individuals own their own artificial intelligence rather than
  rent it from a shared provider. The product is in closed alpha and access is currently granted by request; there is no public
  API or developer documentation yet, so this profile captures the company''s public identity and will be enriched as a developer
  surface appears.'
url: https://raw.githubusercontent.com/api-evangelist/belvedir/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- y-combinator
x-tier: stub
x-tier-reason: portfolio-lead
x-legal-name: Fractal Machine Research, Inc.
x-yc-batch: Summer 2026
x-headquarters: San Francisco, CA
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-18'
tags:
- Company
- Artificial Intelligence
- Machine Learning
- Reinforcement Learning
- Private AI
- Fine-Tuning
- LLM
- Agents
- Model Hosting
apis: []
common:
- url: https://belvedir.ai/
  type: Website
- url: https://belvedir.ai/blog
  type: Blog
- url: https://belvedir.ai/releases
  type: ChangeLog
- url: changelog/belvedir-changelog.yml
  type: ChangeLog
- url: https://belvedir.ai/terms
  type: TermsOfService
- url: https://belvedir.ai/privacy
  type: PrivacyPolicy
- url: https://www.linkedin.com/company/fractal-machine-research/
  type: LinkedIn
- url: https://x.com/fractalml
  type: Twitter
- url: security/belvedir-domain-security.yml
  type: DomainSecurity
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence