Bagel Labs

Bagel Labs is an AI research lab building distributed diffusion training infrastructure for frontier diffusion workloads on commodity and heterogeneous GPU fleets. Its core method, Distributed Diffusion Models (DDM), replaces a single large diffusion model with an ensemble of smaller expert models trained independently on dataset partitions with no gradient synchronization, then ensembled at inference by a lightweight router (the Paris Inference Engine, PIE). Public releases include Paris-1 (image diffusion) and Paris 2.0 (video generation), with open weights on Hugging Face and papers on arXiv. Founded in 2023 by Bidhan Roy and backed by Polychain Capital, the lab targets image, video, world-model, and robotics / physical AI workloads.

Bagel Labs is profiled on the APIs.io network. Tagged areas include Company, Ai Data, Artificial Intelligence, Machine Learning, and Diffusion Models.

Bagel Labs’ developer surface includes documentation, engineering blog, and 9 more developer resources.

🌐 Visit website 📡 Source on GitHub

12.3/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5

0 APIs

CompanyAi DataArtificial IntelligenceMachine LearningDiffusion ModelsGenerative AIDistributed TrainingResearch Lab

Kin Score

Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5

Composite quality — 12.3/100 · minimal

Contract Quality 0.0 / 25

Developer Ergonomics 2.2 / 20

Commercial Clarity 2.6 / 20

Operational Transparency 0.7 / 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

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Get Started 1

Portal, sign-up, and the first successful call

Login

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Company 4

The organization behind the API

Website

Website

Blog

Blog

LinkedIn

Careers

Careers

Other 2

Properties that don't map to a standard resource type

HuggingFace

HuggingFace

Source (apis.yml)

aid: bagel-labs
name: Bagel Labs
description: Bagel Labs is an AI research lab building distributed diffusion training infrastructure for frontier diffusion
  workloads on commodity and heterogeneous GPU fleets. Its core method, Distributed Diffusion Models (DDM), replaces a single
  large diffusion model with an ensemble of smaller expert models trained independently on dataset partitions with no gradient
  synchronization, then ensembled at inference by a lightweight router (the Paris Inference Engine, PIE). Public releases
  include Paris-1 (image diffusion) and Paris 2.0 (video generation), with open weights on Hugging Face and papers on arXiv.
  Founded in 2023 by Bidhan Roy and backed by Polychain Capital, the lab targets image, video, world-model, and robotics /
  physical AI workloads.
url: https://raw.githubusercontent.com/api-evangelist/bagel-labs/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- polychain
x-tier: stub
x-tier-reason: portfolio-lead
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-18'
image: https://www.bagel.com/logo-full.svg
tags:
- Company
- Ai Data
- Artificial Intelligence
- Machine Learning
- Diffusion Models
- Generative AI
- Distributed Training
- Research Lab
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://bagel.com
- type: Documentation
  url: https://docs.bagel.com
- type: Blog
  url: https://blog.bagel.com
- type: Login
  url: https://app.bagel.com
- type: GitHubOrganization
  url: https://github.com/bageldotcom
- type: X
  url: https://x.com/bageldotcom
- type: LinkedIn
  url: https://www.linkedin.com/company/bageldotcom
- type: HuggingFace
  url: https://huggingface.co/bageldotcom
- type: Careers
  url: https://www.bagel.com/careers
- type: LLMsTxt
  url: llms/bagel-labs-llms.txt
- type: DomainSecurity
  url: security/bagel-labs-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence