Jianzhi Robotics (GenRobot.AI) Raises Series A for Embodied AI Data Infrastructure

Jianzhi Robotics (GenRobot.AI) Raises Series A

Jianzhi Robotics, also known as GenRobot.AI, has raised a Series A round, according to funding data dated October 9, 2026. The round was backed by investors including Galbot and Baidu. The company did not disclose the amount raised.

What the Company Does

Founded in mid-2025 in Beijing by Chen Jianxing, a former algorithm lead at Momenta, Jianzhi Robotics builds data infrastructure for embodied and physical AI. The company's approach centers on collecting and structuring real-world physical interaction data to support the development of embodied AI systems.

Its core technical assets include:

• Gen DAS — self-developed wearable hardware used for data collection.
• Gen EgoData — a first-person multimodal dataset.
• A proprietary Data Foundation Model — built on top of the collected data.

According to the company, its data has been collected from more than 3,000 users across more than 10,000 real-world home scenes. That scale of first-person, in-home multimodal data is the foundation on which the company's data model is trained.

Funding History

The Series A is the latest in a rapid sequence of financings. Jianzhi Robotics has raised five rounds in roughly a year, with investors including Baidu Ventures, RoboSense, Shunwei Capital, Ant Group, Didi, and Momenta. The presence of both strategic corporate investors and venture funds across its cap table reflects broad interest in the embodied AI data layer.

Why This Round Matters

Embodied AI — systems that perceive and act in the physical world — depends on data that is fundamentally different from the text and image corpora used to train large language and vision models. Physical interaction data is expensive to collect, difficult to standardize, and highly context-dependent. Companies that can build scalable pipelines for capturing and labeling that data occupy a strategically important position in the embodied AI stack.

Jianzhi Robotics is attempting to address this through a vertically integrated approach: custom wearable hardware for capture, a curated first-person dataset, and a foundation model trained on that data. If the data foundation model generalizes across tasks and environments, it could serve as a reusable layer for robotics and physical AI developers.

Acquisition Angle

The company sits at the intersection of several active strategic categories:

• Data infrastructure for robotics — a scarce asset class as embodied AI investment accelerates.
• Wearable data capture hardware — a differentiated collection modality compared with simulation or teleoperation-based datasets.
• Foundation models for physical AI — an area where large platform companies and robotics OEMs are actively building or acquiring capability.

For acquirers, the appeal would likely center on the proprietary dataset, the data collection hardware, and the team's pedigree in autonomous driving algorithms. The investor list — spanning search, autonomous driving, lidar, and mobility platforms — suggests the company is already connected to potential strategic partners across the physical AI value chain.

What We Know

• Round: Series A
• Date: October 9, 2026
• Investors: Galbot, Baidu
• Amount: Not disclosed
• Stage: Series A
• Headquarters: Beijing
• Founded: Mid-2025
• Founder: Chen Jianxing, former Momenta algorithm lead

No valuation, revenue, or customer figures were disclosed with this round.