Facts

• Segment: Foundation Models
• Country: France
• Founded: 2024
• Website: https://www.genesis.ai/

Profile sections

• Summary
• Market context
• Products
• Facts
• Funding
• Investors
• Context / Market Position
• Events
• Team
• Supply chain relationships
• Relationships
• Context tags
• Articles
• Sources

Summary

Genesis AI develops robot foundation models and dexterous manipulation systems. Its GENE-26. 5 model is designed to transfer learned manipulation skills across robot types, supported by a proprietary robotic hand, data engine and demonstrations of complex physical tasks.

Market context

Genesis AI sits in the robot intelligence layer, where the main constraint is not only robot hardware but the data and control systems needed for dexterous manipulation. GENE-26. 5 is relevant because it combines model development, hand hardware and data infrastructure into one full-stack approach to physical AI. Genesis AI develops robotics foundation models, dexterous manipulation systems, simulation tools and a robotic hand used for physical-AI skill learning and transfer.

Products

• Eno

Facts

• Website: https://www.genesis.ai/
• HQ: San Carlos, France
• Founded: 2024
• Segment: Foundation Models
• Funding total: $100M
• Known funding rounds: 1
• Latest funding date: 2025-07-01

Funding

• 2025-07-01 - Seed - $105M - Genesis AI emerges from stealth with $105M seed for robotics foundation models - source: prnewswire.com

Investors

• Alven - Participant - Unknown - 1 funding event - first seen 2025-07-01
• Bpifrance - Participant - Unknown - 1 funding event - first seen 2025-07-01
• Drysdale Ventures - Participant - Vc - 1 funding event - first seen 2025-07-01
• Eclipse Ventures; Khosla Ventures - Lead - Vc - 1 funding event - first seen 2025-07-01
• Eric Schmidt - Participant - Angel / Individual - 1 funding event - first seen 2025-07-01
• Eurazeo - Participant - Unknown - 1 funding event - first seen 2025-07-01
• HSG - Participant - Unknown - 1 funding event - first seen 2025-07-01
• Xavier Niel - Participant - Angel / Individual - 1 funding event - first seen 2025-07-01

Full-stack physical AI and general-purpose robot systems

Genesis AI develops physical AI models and robot hardware for general-purpose robotics. Its public direction includes GENE-26. 5, dexterous hand work and a full-stack approach to robot intelligence for industrial physical tasks.

• Target environment: Industrial automation, electronics manufacturing, logistics, pharmaceutical production, robotics labs and physical AI development environments.
• Deployment model: Full-stack robotics model built around foundation models, robot hardware, dexterous hands, industrial data collection and customer-facing physical AI systems.
• Customer context: Manufacturers, robotics partners, AI labs, industrial customers and companies evaluating general-purpose robot models for precise physical tasks.
• Workflow context: Robotics foundation models, dexterous manipulation, robot hands, physical AI, data collection, industrial task automation and generalist robot control.
• Commercial maturity: Genesis AI has strong early financing and visible physical-AI model direction. Scaling depends on customer deployments, repeatable physical task performance, hand durability, industrial data depth a…
• Market position: French physical AI company positioned between robotics foundation models and dexterous robot hardware.
• Adoption constraints: Adoption depends on model reliability, industrial data depth, hand durability, customer integration, compute cost, safety and competition from other robot foundation-model labs.
• Adjacent context: Robotics foundation models, embodied AI, dexterous hands, physical AI, manipulation and industrial automation.
• Source confidence: high

Events

• 2026-06-16 - Product Launch - Genesis AI unveils Eno general-purpose robot - Eno is Genesis AI’s first general-purpose robot and is designed for tasks across factories, laboratories, hospitals and homes.
• 2026-05-27 - Capability - Genesis AI open-sources Genesis World 1.0 simulation platform - Genesis World 1.0 is an open-source simulation platform for robotics and physical AI, positioned as the second release in Genesis…
• 2026-05-21 - Executive Hire - Genesis AI expands leadership with legal and operations hires - Damien Kieran joined Genesis AI as Head of Legal after senior legal and privacy roles at Tools for Humanity, X and Google.
• 2026-05-06 - Capability - Genesis AI unveils GENE-26.5 robotics foundation model and dexterous hand demo - Genesis AI unveiled GENE-26.5, a robotics foundation model for dexterous physical manipulation.
• 2026-05-06 - Partnership - Wuji Hand powers Genesis AI GENE-26.5 manipulation demo - Genesis AI unveiled GENE-26.5 alongside a dexterous hand system for cooking, piano, and lab manipulation.
• 2025-07-01 - Funding - Genesis AI emerges from stealth with $105M seed for robotics foundation models - Genesis AI emerged from stealth with $105 million in seed funding co-led by Eclipse and Khosla Ventures.

Team

• Zhou Xian - Co-Founder and CEO
• Theophile Gervet - Co-Founder - Adds founding-team context for Genesis AI's full-stack robotics platform, physical AI model work and robot manipulation systems.
• Théophile Gervet - Co-Founder
• Damien Kieran - Head of Legal
• Pally Kumar - Head of Operations

Supply chain relationships

• Wuji Tech - supplier - Wuji Tech supplies dexterous robotic hands to Genesis AI for the GENE-26.5 manipulation platform.

Relationships

• Wuji Tech - technology_partner - Wuji Tech designed the dexterous hands used in Genesis AI GENE-26.5 manipulation demos.
• Wuji Tech - partner - Wuji Hand powers Genesis AI GENE-26.5 manipulation demo

Context tags

• Robot foundation model platform - Stack Layer
• Robot model supply chain - Customer Environment
• Robot control foundation model developer - Peer Group
• Dexterous robot policy learning - Workflow

Articles

• 2026-05-07 - Genesis AI is putting a robot brain and hand ahead of customer deployments - Genesis AI followed its July 2025 $105 million seed round with GENE-26.5, a robotic foundation model and dexterous hand system ai…