Facts

• Segment: Data Infrastructure
• Country: China
• Founded: 2025
• Website: https://cn.genrobot.com/

Profile sections

• Summary
• Market context
• Products
• Facts
• Funding
• Investors
• Context / Market Position
• Events
• Team
• Sources

Summary

GenRobot AI provides data infrastructure for embodied-intelligence and robotics companies. Its platform covers robotics scenarios, high-fidelity robot data and task datasets, helping developers train, test and evaluate models for manipulation, mobility and real-world robot behavior.

Market context

Robotics foundation models need high-quality real-world interaction data, not only robot hardware. GenRobot is building a body-agnostic data layer that can feed humanoid, service, logistics and industrial robot models from human-centered multimodal capture. GenRobot AI is robotics infrastructure rather than a robot-body OEM. It captures first-person, hand, full-body, tactile, IMU, audio and visual human-behavior data, then processes and governs it through Gen Matrix and data-production workflows so robot and embodied-AI teams can train, evaluate and improve models.

Products

• DAS Dex - DAS data collection devices
• DAS Fingers - DAS data collection devices
• DAS Gripper - DAS data collection devices

Facts

• Website: https://cn.genrobot.com/
• HQ: Beijing, Beijing, China
• Founded: 2025
• Segment: Data Infrastructure
• Known funding rounds: 1
• Latest funding date: 2026-06-01

Funding

• 2026-06-01 - Consecutive rounds - Jianzhi Robotics raises several hundred million RMB across consecutive rounds - source: news.pedaily.cn

Investors

• Ant Group; DiDi; Delian Capital - Lead - Vc - 1 funding event - first seen 2026-06-01
• BV Baidu Ventures - Participant - Vc - 1 funding event - first seen 2026-06-01
• Ninebot - Participant - Unknown - 1 funding event - first seen 2026-06-01
• Shunwei Capital - Participant - Vc - 1 funding event - first seen 2026-06-01

Embodied-AI data infrastructure

GenRobot AI supplies the data layer for embodied intelligence: wearable and multimodal data-capture devices, high-fidelity human-behavior datasets, data-governance tooling and data-production operations used to train robot models.

• Target environment: Human-behavior data capture across home, factory, logistics, healthcare and other real-world interaction settings.
• Deployment model: Infrastructure and data-service model built around Gen DAS capture hardware, Gen Human Data assets, Gen Matrix data governance and large-scale data-production workflows.
• Customer context: Robot builders, embodied-AI labs and model teams that need real-world multimodal interaction data rather than another robot body.
• Workflow context: Captures human motion, first-person visual context, tactile and sensor data; cleans and governs it; and feeds higher-quality datasets into embodied model training, evaluation and iteration.
• Commercial maturity: Fast-scaling private company with official platform materials and June 2026 coverage reporting several consecutive funding rounds totaling several hundred million RMB.
• Market position: Positioned as a body-agnostic embodied-AI data infrastructure provider, with funding from strategic AI, mobility and robotics investors.
• Adoption constraints: Scaling depends on data quality, privacy/governance controls, customer trust, capture-device reliability and proof that datasets improve downstream robot model performance.
• Adjacent context: Comparable context includes embodied-AI dataset providers, robot teleoperation/data-capture companies, data-governance platforms and robot foundation-model infrastructure.
• Source confidence: high

Events

• 2026-06-01 - Funding - Jianzhi Robotics raises several hundred million RMB across consecutive rounds - Jianzhi Robotics / GenRobot AI announced consecutive rounds totaling several hundred million RMB.
• 2026-01-17 - Product Launch - 10Kh RealOmni-Open Gen Robot.AI open-source embodied intelligence dataset - 10Kh RealOmni-Open is one of the largest open-source embodied intelligence datasets available.

Team

• Chen Jianxing - CEO
• Zhu Yanming - Co-founder