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

19.1/100 emerging ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5

0 APIs

CompanyEnterprise; AiRoboticsArtificial IntelligencePhysical AIFoundation ModelsSimulationEmbodied AIRobotics Foundation Model

Kin Score

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

Composite quality — 19.1/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 7.0 / 20

Commercial Clarity 4.7 / 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

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: '0.20'
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
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