Yugou Zhihe
Core Engine: "Zhihe" High-Precision Dry Electrode EEG System
Non-invasive is the only feasible path for large-scale commercial application of BCI technology at the current stage.
AI Deep EEG Decoding Model
Deep learning decoding engine, which can quickly adapt to individual differences, achieving millisecond-level motor intent
recognition and real-time feedback.
Novel Flexible Dry Electrode Array
Abandoning traditional conductive paste, we adopt a self-developed flexible sensor array. Comfortable to wear
imperceptible, and stable, high-quality EEG signals can be obtained in a natural state.
Anti-noise and Artifact Removal Algorithm
Original adaptive filtering algorithm, capable of real-time identification and removal of EMG, EOG, and environmental
noise interference, ensuring high signal-to-noise ratio data even in complex daily environments.
Safety
Ease of Use
Cost
Application Scenarios
Utilizing internationally recognized non-invasive electroencephalogram (EEG) acquisition technology, it is traceless, radiation-free, and has no side effects. With multiple safety certifications, it provides users with a more secure experience.
Minimalist wearing design, 30 seconds to complete wearing calibration; equipment is debug-free, maintenance-free, plug-and-play, greatly reducing venue operating costs and barriers.
Self-developed full-link technology + scaled supply chain to achieve controllable costs; low investment, high return, investment can be recouped in 3-6 months, suitable for bulk procurement and chain replication.
From mall traffic diversion, parent-child interaction to popular science research and brand pop-ups, it meets multi-scenario commercial needs in one stop, supporting customized solutions and IP co-branding development.
Core Fact: A research and development team of over 60 master's and doctoral degree holders, with 70% of them being postgraduate students. Core members are from universities such as Donghua University and East China University, holding multiple core invention
patents;
Differentiation: Self-developed high signal-to-noise ratio electroencephalogram (EEG) acquisition algorithm, with industry-leading signal acquisition accuracy and decoding accuracy, balancing medical-grade precision with consumer-grade convenience, adaptable to
all populations and all scenarios.
Core Fact: One of the very few companies in China to achieve full-chain mass production of non-invasive brain-computer interface consumer products, with full control over hardware design, algorithm research and development, and manufacturing.
All processes are independently controllable;
Differentiation: Solves the core pain point of "laboratory products being unable to be mass-produced" in the industry, with products that can be quickly scaled and replicated, possessing the capability for large-scale market penetration.
Core Facts: Pioneered commercial validation in consumer-grade scenarios, built a matrix of hit products, established industry-academia-research collaborations with universities such as Fudan University and Hainan University, and received multiple reports from mainstream media like CCTV and The Paper.
Differentiation: Successfully established a complete business closed-loop of "product R&D - mass production implementation - channel distribution - user operation", capturing user mindshare, forming a first-mover brand advantage, making it difficult for latecomers to catch up.