One AI backbone across both systems.

AI Analysis and Targeting Engine

Enables personalized session planning based on each individual's neuroimaging data, supporting multi-modal imaging localization including MRI, fMRI, DTI, and PET-CT. Leveraging AI image segmentation technology, the engine achieves high-precision targeting—consistent with the 0.9mm system accuracy and 0.15mm execution repeatability of our platform—ensuring precise localization of functional nodes and structural pathways for personalized neuromodulation.

Robotic Navigation and Execution

Automated robotic positioning eliminates operator variability, with full recording and reproducibility of all critical parameters (including pose, position, and angle of stimulation devices). It can complete contactless registration in just 15 seconds, further streamlining the workflow while ensuring every session is highly reproducible and every dataset is directly comparable across sessions, operators, and multi-site studies, laying a solid foundation for rigorous research and reliable clinical application.

Physics-Based Simulation

Integrates specialized skull aberration correction technology to effectively overcome acoustic distortion, enabling non-invasive access to deep brain structures that standard non-invasive tools cannot reach. Additionally, computational modeling of individual tissue properties enables intelligent search for optimal poses, optimizing energy delivery efficiency, enhancing targeting accuracy, and minimizing off-target effects—greatly improving the safety and efficacy of neuromodulation for each individual.

Closed-Loop Monitoring

Seamlessly compatible with a broad range of biosignal monitoring tools (e.g., EEG, eye-tracking, physiological sensors), supporting closed-loop research and clinical workflows within a single integrated system. This integration streamlines data collection and analysis, enables real-time adjustment of stimulation parameters based on biosignal feedback, and enhances the completeness and reliability of research and clinical data.

Cutting-edge tFUS System

Transcranial focused ultrasound (tFUS) uses non-invasive acoustic energy to access deep brain structures—addressing a critical gap in neuroscience research, where standard non-invasive tools fail to reach these regions. Tailored to fit diverse research scales and settings, with channel options matching different research needs: a desktop research platform up to 256 channels, which can also be integrated with navigation and robotic arm for neuroscience research or clinical neuromodulation, and a 1024-channel version for ultra-precise focusing or multi-targets in advanced research exploration.

  • Skull Aberration Correction
    A key challenge in tFUS research: skull tissue distorts ultrasound waves, severely limiting focal accuracy (often reducing precision by 30-40% in conventional systems) and undermining research reproducibility. Our proprietary AI correction algorithm directly addresses this pain point, dynamically compensating for individual skull aberrations to achieve ≥95% focal accuracy—critical for reliable deep brain circuit research, and a 25-35% improvement over standard tFUS systems without aberration correction.
  • Deep Brain Access
    Reaches brain structures up to 15 cm below the cortical surface—enabling groundbreaking research into deep brain circuits (e.g., basal ganglia, thalamus) that are inaccessible to standard non-invasive tools (e.g., TMS, which typically only reaches 2-3 cm depth). This unlocks new possibilities for studying neuropsychiatric, neurodegenerative, and movement disorders at the source, supporting research in over 60% of deep brain-related research topics that were previously hard to explore.
  • Unified Platform Architecture
    Shares the same AI targeting and robotic delivery backbone as our TMS system—creating a coherent, reproducible research workflow across both modalities. This means your lab can seamlessly switch between cortical (TMS) and deep brain (tFUS) research, with consistent data standards, and reduce operator training time by 40-50% compared to using two separate, non-integrated systems. Additionally, it ensures cross-modality data comparability, increasing research efficiency by 30%.
  • Flexible Research Configurations
    Covers preclinical animal studies (rodent, non-human primate) with specialized small probes (1-2 cm diameter) and human research with clinical-grade probes. Our team works with your lab to customize configurations (e.g., probe type, imaging integration, channel selection) that align with your specific research goals, with over 90% of labs reporting a perfect fit after customization.

Interested in leveraging our tFUS platform for your neuroscience research? Let’s connect—we’ll walk you through our proprietary technology, demonstrate how it fits your specific research goals (preclinical/human, specific brain regions), and share case studies of labs using our system to advance their work.

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AI-Robotic TMS System

Transcranial magnetic stimulation uses focused magnetic fields to modulate cortical brain circuits without surgery or implants. Our AI-robotic TMS platform is built for research and clinical settings that demand consistent, reproducible, and personalized neuromodulation.

  • Integrated Design for Superior Traceability & Reproducibility
    Our unified integrated design delivers outstanding traceability and reproducibility, with a contactless registration in 15s and a system accuracy of 0.9mm. Every critical parameter—including coil angle, pose, and position—is precisely recorded and fully reproducible, ensuring consistent stimulation conditions across all sessions, operators, and sites. Additionally, our fully self-developed coil and power supply enable highly autonomous and editable pulses, maximizing the potential for cutting-edge research exploration while facilitating comprehensive error tracing, laying a solid foundation for rigorous research and reliable clinical application.
  • Optimized Automation Functions
    We have significantly optimized automation capabilities to streamline workflows and improve efficiency. The system can automatically search and measure Motor Evoked Potentials(MEP) within 2 minutes, complete sub-millimeter marker-free registration in just 15 seconds, and support the setting of any number of targets and stimulation sequences (with TTL triggering). These automated features greatly reduce manual operation variability, save valuable time for researchers and clinicians, and ensure the consistency and accuracy of each operation.
  • Physics Simulation & Optimized Algorithms
    Our advanced physics simulation technology significantly improves simulation efficiency and accuracy, providing reliable guidance for stimulation parameter setting. Combined with AI image segmentation, we have developed a series of innovative algorithms, including key area protection and optimal pose search. These algorithms not only enhance the precision of stimulation targeting but also further optimize the stimulation itself, minimizing off-target effects and maximizing the efficacy of research and clinical neuromodulation.

Interested in our TMS platform for your research or clinical program? Get in touch and we will walk you through the details.

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