Synapath AI
About
About Synapath AI
Synapath AI develops data infrastructure for embodied-AI and robot-learning teams. Its pipeline reconstructs human motion and physical interaction from video, converts those demonstrations into structured trajectories, and retargets the resulting data to different robot embodiments. This approach is intended to expand training data beyond demonstrations collected through direct robot teleoperation, while preserving contact and action information needed for policy learning.
The HORA dataset contains more than 150,000 trajectories extracted from real-world human video and adds multimodal representations for embodied training. RoboWheel extends the pipeline to cross-embodiment, high-fidelity physical-interaction data that can be replayed on robot arms, dexterous hands and humanoid platforms. Synapath supplies reconstructed datasets and the data engine used to create them. Robot manufacturers and research teams remain responsible for model training, hardware integration, safety validation and deployment of the resulting policies.
Articles
Funding
- 2026-08-24 - Angel+++ - Synapath AI closes near-RMB100M Angel+++ round
Synapath AI completed a near-RMB100 million Angel+++ financing for its embodied-intelligence data infrastructure. - source: laoyaoba.com
Investors
- Cornerstone Capital - Participant - VC - 1 funding event - first seen 2026-08-24
- Energy Conservation Capital - Participant - VC - 1 funding event - first seen 2026-08-24
- Hangzhou Industrial Investment Group - Participant - Strategic Industrial - 1 funding event - strategic/corporate - first seen 2026-08-24
- Nanshan Strategic Emerging Industries Fund - Participant - VC - 1 funding event - first seen 2026-08-24
- Suzhou Trend Capital - Participant - VC - 1 funding event - first seen 2026-08-24
- Westlake Science and Technology Innovation Investment - Participant - Unknown - 1 funding event - first seen 2026-08-24
Timeline
Events
- 2026-09-18 - Funding - Synapath AI completes near-RMB100M Pre-A for tactile intelligence
Guangzhou Industrial Investment and Yihe Capital participated, while existing investor Trend Investment followed on. The round is the company’s third financing in one month and is directed mainly toward SynaTac tactile R&D and validation. SynaData converts human behaviour into robot-training data, while SynaTac targets contact strategy, force control and slip response for robot learning.
Source - 2026-09-02 - Partnership - SYNAPATH AI and BeingBeyond expand tactile-data partnership
The collaboration covers embodied-data development and model-training validation. SYNAPATH data contributed to development of BeingBeyond's Being-H0.8 tactile world-action model. The new agreement extends the relationship into data standards and a possible shared data ecosystem.
Source - 2026-08-24 - Funding - Synapath AI closes near-RMB100M Angel+++ round
Six disclosed investors participated, including Cornerstone Capital, Nanshan Strategic Emerging Industries Fund and Suzhou Trend Capital. The round is separate from an earlier tens-of-millions-yuan Angel++ financing and the two are not combined. Synapath converts human-work video into robot-learnable physical-interaction and motion data.
Source
Relations
Relationships
- BeingBeyond
Embodied Data And Model Validation Partner - SYNAPATH AI and BeingBeyond collaborate on embodied datasets, model validation and data standards, including data used for Being-H0.8.