Bridging Neural Intent and Physical Action
Aevum Zenth Neural Systems (AZNS) develops implantable and non-invasive brain-computer interfaces, paired with adaptive neuroprosthetic actuators and AI-driven decoding engines. Our architecture operates on a closed-loop feedback paradigm: capturing high-fidelity neural spikes, processing intent via edge-AI inference, and delivering tactile/proprioceptive feedback to restore motor function, communication pathways, and sensory perception.
Platform Architecture
Cortical Micro-Interface (CMI-9)
Fully implantable, flexible polymer electrode array with 1024 independent channels. Biocompatible encapsulation reduces glial scarring by 74% over 24-month trials.
Proprioceptive Feedback Actuators
Neuroprosthetic limbs with embedded micro-sensors delivering closed-loop tactile and kinesthetic feedback directly to somatosensory cortex pathways.
NeuralDecode AI v4
Edge-optimized transformer model running locally on implant hardware. Real-time spike sorting, artifact rejection, and intent prediction at <12ms latency.
Hybrid EEG/MEG Clinical Array
Non-invasive wearable headset for research, rehabilitation, and consumer BCI applications. Enterprise SDK available for clinical research partners.
Development Milestones
Neuro-Ethics & Regulatory Compliance
Neural technology demands unprecedented responsibility. AZNS operates under a strict neuro-rights framework, ensuring patient autonomy, cognitive liberty, and mental privacy. All systems are designed with hardware-level encryption, local-only data processing, and explicit user consent protocols.
Cognitive Liberty
Users retain full control over data streams. Neural data is never sold, shared, or processed without explicit, revocable consent.
FDA & CE Mark Compliant
Full adherence to ISO 13485, FDA QSR 820, and EU MDR regulations. Independent IRB oversight for all clinical protocols.
Algorithmic Transparency
Open audit trails for NeuralDecode AI. Third-party validation ensures bias mitigation and clinical reliability across demographics.
Hardware-Level Encryption
AES-256 encryption on all neural telemetry. Zero-knowledge architecture ensures implants cannot be remotely accessed or modified.
Academic & Clinical Collaborations
Co-developing the next generation of neural interfaces with leading institutions worldwide.
Partner with AZNS
Whether you're a clinical researcher, healthcare provider, or institutional investor, explore how our neural platforms are redefining human-machine integration.