IO-AI Tech - 柔宇科技
"Bringing Robots Everywhere, for Everyone"
Shenzhen-based embodied AI data infrastructure company providing teleoperation, data collection, annotation, and model training for robots.
IO-AI Tech, founded in Shenzhen, China in 2023, develops end-to-end data infrastructure for real-world robotics and embodied AI. The company's proprietary integrated hardware and software stack covers robot teleoperation, data collection, annotation, visualization, quality assurance, and model-ready export. Key products include TeleXperience, a general robotic teleoperation platform supporting 60+ robot configurations including humanoids, robot arms, and dexterous hands, and EmbodiFlow, an embodied AI data platform that creates a continuous robotics data flywheel.
IO-AI operates globally with offices in Shenzhen, Osaka, Singapore, Sydney, and the San Francisco Bay Area.
Primary type & automation activities this supplier delivers:
EmbodiFlow
- Launch Year: 2024
Embodied AI data platform for multimodal data collection, annotation, visualization, QA, and model-ready export.
LeRobot Studio
TeleXperience
- Launch Year: 2023
General robotic teleoperation platform supporting 60+ robot configurations for high-precision real-world training data collection.
SenseXperience
Contact IO-AI Tech
WEBSITE
https://io-ai.tech/en/PHONE
+86 0755-88658665HEADQUARTERS
China
Company Facts
Founded
2023
Primary Role
Software/Algorithm
Company Size
-
Primary Region
Asia-Pacific
Annual Sales
-
Funding Stage
-
Funding Total
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Robot Programming Languages 2026: From G-Code & FANUC KAREL to ROS2 — Complete History & Industrial Guide
A comprehensive guide to industrial robot programming language evolution: G-code and NC origins, FANUC KAREL/TP, ABB RAPID, KUKA KRL, Yaskawa INFORM, the ROS open-source revolution, ROS2 architecture, ROS-Industrial consortium, OPC-UA, TSN, and real-time Linux — how six decades of software history define today's factory floor.
The Core Components Battle of Indutrial Robot, Reducers, Servo Systems & Controllers
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RoboMME Benchmark Reveals a Critical Weakness in Robot AI: Memory
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