Genesis AI

Genesis AI is a physical-AI company building a universal robotics foundation model and a full-stack platform for general-purpose robots. Founded in 2024 by Zhou Xian and Théophile Gervet, it emerged from stealth in July 2025 with $105M in seed funding from Eclipse, Khosla Ventures, Bpifrance, HSG, Eric Schmidt, and Xavier Niel. Its stack spans the GENE vision-language-action foundation model (GENE-26.5), the Eno general-purpose robot, and Genesis World, a multi-physics simulation platform that generates synthetic training data and is developed in the open as the `genesis-world` Python package. The company is pre-product with customer deployments targeted for the end of 2026; its primary public developer surface today is the open-source Genesis simulation stack on PyPI, GitHub, and Read the Docs rather than a hosted web API.

Genesis AI is profiled on the APIs.io network. Tagged areas include Company, Enterprise AI, Robotics, Artificial Intelligence, and Physical AI.

Genesis AI’s developer surface includes documentation, API reference, getting-started guide, engineering blog, signup flow, and 6 more developer resources.

🌐 Visit website 📡 Source on GitHub

17.7/100 emerging ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-08-21 · rubric v0.12.0

0 APIs

Company Enterprise AI Robotics Artificial Intelligence Physical AI Foundation Models Simulation Embodied AIRobotics Foundation Model

Kin Score

Kin Score How this is scored →
scored 2026-08-21 · rubric v0.12.0

Composite quality — 17.7/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 7.6 / 20

Access Clarity 4.7 / 20

Operational Transparency 0.3 / 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

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/genesis-ai: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Get Started 2

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

SignUp

SignUp

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Build 3

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Packages

Packages

SDKs

SDKs

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Commercial 1

Pricing, plans, and the legal terms of use

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: genesis-ai
name: Genesis AI
description: Genesis AI is a physical-AI company building a universal robotics foundation model and a full-stack platform
  for general-purpose robots. Founded in 2024 by Zhou Xian and Théophile Gervet, it emerged from stealth in July 2025 with
  $105M in seed funding from Eclipse, Khosla Ventures, Bpifrance, HSG, Eric Schmidt, and Xavier Niel. Its stack spans the
  GENE vision-language-action foundation model (GENE-26.5), the Eno general-purpose robot, and Genesis World, a multi-physics
  simulation platform that generates synthetic training data and is developed in the open as the `genesis-world` Python package.
  The company is pre-product with customer deployments targeted for the end of 2026; its primary public developer surface
  today is the open-source Genesis simulation stack on PyPI, GitHub, and Read the Docs rather than a hosted web API.
url: https://raw.githubusercontent.com/api-evangelist/genesis-ai/refs/heads/main/apis.yml
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://www.datocms-assets.com/199265/1781542957-genesis-eno-lab-alameda-ca-06082026-dropping.png?auto=format&fit=max&w=1200
x-type: company
x-source: vc-portfolio
x-backed-by:
- northzone
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Enterprise AI
- Robotics
- Artificial Intelligence
- Physical AI
- Foundation Models
- Simulation
- Embodied AI
- Robotics Foundation Model
tags_raw:
- Company
- Enterprise; Ai
- Robotics
- Artificial Intelligence
- Physical AI
- Foundation Models
- Simulation
- Embodied AI
- Robotics Foundation Model
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.genesis.ai
- type: Documentation
  url: https://genesis-world.readthedocs.io/en/latest/
- type: APIReference
  url: https://genesis-world.readthedocs.io/en/latest/api_reference/index.html
- type: GettingStarted
  url: https://genesis-world.readthedocs.io/en/latest/user_guide/index.html
- type: GitHubOrganization
  url: https://github.com/Genesis-Embodied-AI
- type: Blog
  url: https://www.genesis.ai/blog
- type: SignUp
  url: https://www.genesis.ai/
- type: PrivacyPolicy
  url: https://www.genesis.ai/privacy
- type: Packages
  url: packages/genesis-ai-packages.yml
- type: SDKs
  url: packages/genesis-ai-packages.yml
- type: DomainSecurity
  url: security/genesis-ai-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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