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GigaAI (also written as Giga AI) is a Chinese robotics company headquartered in [[Beijing]], [[China]], focused on developing Physical AGI (Artificial General Intelligence) for [[humanoid robot]]s. Founded in 2023, the company builds both the hardware platforms and the AI foundation models needed to control them. GigaAI's flagship product is the [[Maker H01]], a wheeled humanoid robot positioned as a "Physical AGI Native Platform." The company has secured backing from [[Huawei]] and closed a nearly 1 billion yuan Pre-B financing round in 2026.
Giga AI was founded in 2023 with its headquarters at Number 8, Courtyard 1, Zhongguancun East Road, Haidian District, Beijing, placing it in the heart of China's technology hub near the campuses of [[Peking University]] and [[Tsinghua University]].[1]
The company positioned itself as building the "OpenAI of the physical world," aiming to create foundation models that would allow robots to perform diverse tasks without task-specific programming, analogous to how large language models like [[ChatGPT]] handle diverse text tasks.[2]
In November 2025, GigaAI officially unveiled the [[Maker H01]], its fully self-developed wheeled humanoid robot. The rapid development from founding to product launch in approximately two years demonstrated the company's engineering velocity.[3]
Shortly after the Maker H01 launch, GigaAI began mass production and started delivering robots to customers for scenarios including data collection, industrial applications, and service roles.[4]
In March 2026, GigaAI closed a nearly 1 billion yuan (~$140 million) Pre-B financing round, reflecting strong investor confidence in the company's approach to embodied AI.[5]
The [[Maker H01]] is GigaAI's flagship wheeled humanoid robot.
| Specification | Details |
|---|---|
| Type | Wheeled dual-arm humanoid |
| Total DOF | 28 |
| Vertical Reach | 0 to 2 meters |
| Arm DOF | 7 per arm (bionic) |
| Arm Payload | 5 kg |
| End Effectors | Adaptable to grippers or dexterous hands |
| Head Cameras | 5 RGB + 4 RGB-D |
| Chassis | Omni-directional, all-wheel-drive |
| LiDAR | 360-degree |
| Software | Full-stack hardware and software integration |
The Maker H01 features an extensive sensor suite:
| Location | Sensors |
|---|---|
| Head | RGB cameras + RGB-D cameras |
| Chest | RGB cameras + RGB-D cameras |
| Hands | RGB cameras + RGB-D cameras |
| Chassis | 360-degree LiDAR |
The nine cameras (5 RGB plus 4 RGB-D) distributed across the head, chest, and hands provide comprehensive visual perception from multiple angles, enabling the robot to see objects it is manipulating, obstacles in its path, and people in its environment simultaneously.
Each arm ends in a modular attachment point that can accept different end effectors, including standard grippers for simple pick-and-place tasks and dexterous multi-fingered hands for complex manipulation.
GigaAI develops both hardware and software as an integrated stack:
The Maker H01 is designed from the ground up as a native platform for Physical AGI. Rather than adapting existing robot hardware for AI control, GigaAI designed the hardware specifically to support foundation model-based control, with sensor placement, actuator design, and computing architecture all optimized for this purpose.[3]
GigaAI develops proprietary foundation models for robotic control that enable generalized task execution without task-specific programming. These models process multi-modal sensor input (vision, touch, force) and generate coordinated whole-body actions.
The company emphasizes its systemic capabilities in engineering mass production, supply chain integration, and fast-paced software-hardware iteration. This manufacturing readiness distinguishes GigaAI from research-focused robotics companies that have difficulty scaling from prototype to production.[4]
| Round | Amount | Date |
|---|---|---|
| Pre-B | March 2026 |
GigaAI has received backing from Huawei and other investors. The cumulative investment in the company exceeds 1 billion yuan, supporting its goal of becoming a leading Physical AGI platform.[2]