# Genesis AI

**Canonical:** https://apis.io/providers/genesis-ai/  
**Website:** https://www.genesis.ai  
**APIs profiled:** 0

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.

## Kin Score — 17.7 / 100 (emerging)

Scored 2026-08-21 under rubric 0.12.0. Trend: flat (+0.0 from 17.7).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 2.6 |
| Developer Ergonomics | 38.1 |
| Commercial Clarity | 23.7 |
| Access Clarity | 23.7 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (1)

- **Genesis Ai Domain Security** — TLSv1.3 · HSTS

## Tags

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

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/genesis-ai/). Scores are computed from the provider's own public artifacts under a published rubric.