GigaAI
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Last reviewed
May 11, 2026
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14 citations
Review status
Source-backed
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v3 · 2,393 words
Add missing citations, update stale details, or suggest a clearer explanation.
GigaAI (also written as Giga AI, Chinese: 极佳科技 / 极佳视界) is a Chinese artificial intelligence company headquartered in Beijing, China, building what it calls "Physical AGI": foundation models, world models, and humanoid hardware that let robots and vehicles act in the real world without task-specific programming. Founded in 2023 by Huang Guan, a Tsinghua University PhD in automation, the company describes itself as China's first startup focused on world model research for physical AI.[1][2] Its product stack combines the GigaBrain vision-language-action (VLA) foundation model, the GigaWorld world model platform, and the Maker H01 wheeled humanoid robot. GigaAI is backed by Huawei (through Huawei Habo Investment) and a wide group of Chinese state and venture funds, and in March 2026 it closed a nearly 1 billion yuan Pre-B round.[3]
Giga AI was founded in 2023 and is based at Number 8, Courtyard 1, Zhongguancun East Road, Haidian District, Beijing, putting it close to the campuses of Peking University and Tsinghua University in the city's main technology corridor.[1]
Founder Huang Guan holds a PhD from Tsinghua University's Department of Automation. Before starting the company he led visual perception research at Horizon Robotics, served as a partner at PhiGent Robotics, and earlier worked at Microsoft Research Asia and Samsung Research China.[2] According to Gasgoo, the core team also draws on former vice-president-level architects from large Chinese internet firms, recipients of Huawei's "Genius Youth" recruiting program, and hardware leads from established Chinese robotics companies.[2]
The company positioned itself early on as an "embodied foundation model and general robotics" firm, and publicly described its ambition as becoming "the OpenAI of the physical world": building general models that let a single robot or vehicle handle many tasks, in the same way ChatGPT handles many text tasks.[2]
GigaAI's first commercial traction came in autonomous driving. In March 2025 the company's DriveDreamer world model was integrated into ECARX's AutoGPT in-vehicle AI platform, a deal announced through ECARX's Nasdaq investor releases.[4] DriveDreamer is positioned as the first world model trained on real driving data, used to generate rare-case driving scenarios in simulation to cut down on physical road testing.[4][5]
In October 2025 GigaAI signed a partnership with the Hubei Humanoid Robot Innovation Center to build what the two sides called the world's first "world-model-driven virtual-real embodied intelligence data factory," a facility that produces synthetic and real training data for embodied AI at scale.[6]
A few weeks later, in early November 2025, GigaAI closed a hundred-million-yuan Series A1 round co-led by Huawei Habo Investment and Huakong Fund. The deal marked Huawei's first direct equity investment in a Chinese physical AI startup of this kind and was widely reported as a signal of Huawei's pivot from purely software-defined AI toward world-model-based physical AI.[3][7]
Later the same month, on or around November 12, 2025, GigaAI officially unveiled the Maker H01, its first fully self-developed wheeled humanoid robot, branding it a "Physical AGI Native Platform" and using language about a "ChatGPT moment" for robotics.[8][9]
On February 2, 2026, roughly two months after the launch, GigaAI announced the start of large-scale Maker H01 deliveries. The first unit went to the Hubei Humanoid Robot Innovation Center, with subsequent units shipped to customers in automotive manufacturing, 3C electronics, warehousing and logistics, high-end guiding, and home terminal scenarios. The company set a public target of around 1,000 Maker H01 deliveries during 2026.[6][2]
On March 5, 2026, GigaAI closed a nearly 1 billion yuan (~$140 million) Pre-B financing round. The investor list included Shanghai Pudong Science and Technology Investment, Linxin Capital, Xingyuan Capital, Wanlin International, CICC Capital, Su VC, Huaqiang Capital, Changjiang Capital, Optics Valley Industrial Investment, and Xishan State Investment, with several earlier backers (CICC Capital, Huaqiang Capital, Caixin Capital, Zhangke Yaokun) doubling down.[2][3]
GigaAI builds along three connected layers it calls "foundation model, body, and scenario." The foundation model is GigaBrain; the body is Maker; the world model and data factory that feed both is GigaWorld.[6][2]
The Maker H01 is GigaAI's flagship wheeled humanoid robot and the company's main piece of hardware. It is designed as a native platform for foundation-model control rather than an existing robot retrofitted for AI.
| Specification | Details |
|---|---|
| Type | Wheeled dual-arm humanoid |
| Height | 160 cm |
| Weight | 64 kg |
| Total DOF | 28 (excluding end effectors) |
| Vertical reach | 0 to 2 meters |
| Arm DOF | 7 per arm (bionic) |
| Arm payload | 5 to 10 kg per arm |
| End effectors | Modular: grippers or 5-finger dexterous hands (7 DOF each) |
| Head cameras | 5 RGB + 4 RGB-D (distributed across head, chest, hands) |
| Chassis | Omni-directional, all-wheel-drive |
| LiDAR | 360-degree |
| Max speed | 8 km/h |
| Battery runtime | About 4 hours per charge |
| Ingress protection | IP20 |
| Materials | Aluminum alloy frame with ABS composite shells |
| Software | Integrated full-stack, controlled by GigaBrain |
| Launch date | November 2025 |
| Indicative price | ~$160,000 |
Sources: Humanoid.guide product database and the November 2025 launch coverage.[8][9]
The Maker H01 carries a deliberately heavy sensor stack so that GigaBrain can fuse multiple viewpoints in real time.
| 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) spread across head, chest, and hands let the robot see what it is manipulating, the obstacles around it, and the people in the room at the same time. The 360-degree LiDAR on the chassis handles longer-range navigation and obstacle avoidance.[8]
Each arm ends in a standardized attachment point. Customers can swap between simple grippers for pick-and-place tasks and 5-finger dexterous hands with 7 DOF per hand for more delicate manipulation such as laundry folding or pouring. Per-arm payload is rated at 5 to 10 kg depending on the end effector and posture.[9]
In the company's own framing, the Maker H01 is built for industrial, commercial, and home scenarios. Public reporting on the first wave of deliveries lists automotive manufacturing, 3C electronics, warehousing and logistics, high-end guiding, and home terminal use cases. Independent product databases also mention hospitality reception, workplace assistance, light logistics, and education.[6][9]
GigaBrain is GigaAI's vision-language-action (VLA) foundation model for robots. The publicly released version, GigaBrain-0, takes RGB-D input (color plus depth) and outputs both low-level actions and an "Embodied Chain-of-Thought" intermediate representation that the model uses to reason about object positions, contact points, and task order before acting.[10][11]
A few features stand out:
A lightweight variant, GigaBrain-0-Small, is optimized for edge inference on NVIDIA Jetson AGX Orin and is intended for deployment on robots in the field rather than in the cloud.[11]
GigaAI also hosts the GigaBrain Challenge at CVPR 2026, which uses its data and benchmarks to compare external VLA submissions.[12]
GigaWorld is GigaAI's world model platform, used as a data engine for embodied AI. It generates synthetic driving and robot interaction data through video generation and transfer learning techniques. The GigaWorld-0 paper describes it as "world models as a data engine," and the public results argue that VLA models trained largely on GigaWorld-generated data can hit strong real-world performance without much physical robot interaction during training.[13]
The Hubei "virtual-real embodied intelligence data factory" runs on this stack, mixing synthetic data from GigaWorld with real teleoperation and demonstration data collected from Maker robots on factory floors.[6]
DriveDreamer and its 4D successor DriveDreamer-2/4D are GigaAI's autonomous driving world models. They generate diverse driving scenarios, including edge cases, in simulation. ECARX integrated DriveDreamer into its AutoGPT in-vehicle AI application in March 2025, with the stated goal of reducing reliance on physical road testing and shortening development cycles for new ADAS features.[4][5] Li Auto is named in Chinese reporting as another deployment customer.[2]
GigaAI's technical pitch sits on a few connected ideas:
Rather than collecting enormous amounts of real robot interaction data, GigaAI argues that high-quality world models can generate that data in simulation. GigaWorld renders synthetic robot trajectories and driving scenes that GigaBrain then trains on. The company claims this is how it gets around the standard bottleneck in embodied AI, namely that real-robot data is slow and expensive to collect.[10][13]
The Maker H01 is built from the ground up to be controlled by a foundation model. Sensor placement, the bionic 7-DOF arm geometry, the omni-directional chassis, and the compute architecture are all chosen to feed and be fed by GigaBrain rather than retrofitted onto a robot designed for hand-written control software.[8][9]
GigaAI puts a lot of public emphasis on its ability to actually build robots at volume. Coverage of the February 2026 delivery announcement notes that the company stresses its "systemic capabilities in engineering mass production, supply chain integration, and fast-paced software-hardware iteration," the kinds of capabilities that distinguish a shipping company from a research lab.[6]
Unusually for a humanoid robotics company, GigaAI also sells into autonomous driving. The DriveDreamer family is in production use at ECARX (and reportedly Li Auto), and the same world model approach is meant to transfer between cars and robots. Huawei's interest, per the Pandaily and Gizmochina reporting, is partly about applying world models to both autonomous driving and embodied robotics inside Huawei's wider ecosystem.[3][7]
GigaAI has raised multiple rounds from Chinese state-backed funds, private venture capital, and Huawei's investment arm. Public reporting confirms at least three named rounds, with cumulative investment in the company well over 1 billion yuan.
| Round | Approximate amount | Date | Notable investors |
|---|---|---|---|
| Series A1 | Several hundred million yuan ("hundred-million-yuan" level) | Early November 2025 | Huawei Habo Investment, Huakong Fund (co-leads) |
| Pre-B | March 5, 2026 | Shanghai Pudong Science and Technology Investment, Linxin Capital, Xingyuan Capital, Wanlin International, CICC Capital, Su VC, Huaqiang Capital, Changjiang Capital, Optics Valley Industrial Investment, Xishan State Investment |
Several earlier investors (CICC Capital, Huaqiang Capital, Caixin Capital, Zhangke Yaokun) re-upped in the Pre-B, which is generally read as a positive signal about internal performance.[2][3]
GigaAI's announced partners cover both robotics and autonomous driving:
| Partner | Domain | Nature of relationship |
|---|---|---|
| Huawei (via Huawei Habo) | Investment, strategic | Series A1 co-lead; exploring cooperation across Huawei business lines |
| ECARX | Autonomous driving | DriveDreamer integrated into AutoGPT in-vehicle AI (March 2025) |
| Li Auto | Autonomous driving | DriveDreamer deployment (per Chinese reporting) |
| Hubei Humanoid Robot Innovation Center | Robotics | Joint "virtual-real embodied intelligence data factory" (October 2025); first Maker H01 delivery customer (February 2026) |
The first wave of Maker H01 commercial deployments is concentrated in automotive plants, 3C electronics factories, logistics warehouses, and a small number of high-end guiding and home use deployments.[6][2]
GigaAI is part of a broader 2025-2026 wave of Chinese humanoid robotics startups, alongside Unitree, AgiBot, Galbot, and UBTECH. Gasgoo's tracking of the sector reports that embodied intelligence companies are now routinely raising rounds at the 1-billion-yuan-plus level, with the highest single rounds in the segment topping 3 billion yuan, putting GigaAI's Pre-B in line with peers rather than far ahead.[14]
Pandaily and Gizmochina both frame the Huawei investment as the more strategically interesting moment, since Huawei rarely takes direct equity in this kind of physical AI company. They argue the bet is on a shift away from purely language-model-driven AI and toward systems that map vision and physical signals directly to actions in cars and robots.[3][7]
Independent product databases caution that the Maker H01 is still in early production. Humanoid.guide rates the robot at a manipulation performance score of 4/10, lists its glass-to-action latency as 250 to 450 ms, and notes that as of the listing the unit is best treated as an early-production platform aimed at integrators rather than a consumer-ready home robot.[9]