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Compliance

Reliability,
by design.

Medical device regulations, data protection laws, and AI ethics frameworks — we design compliance in from the start, not after.

Standards

Compliance roadmap.

IEC 62304

Medical Device Software

Lifecycle processes. NeuroFlow software development processes are structured in accordance with this standard.

Compliance process active
ISO 13485

Quality Management System

Quality management system requirements for medical device manufacturers. Documentation and traceability.

Planning phase
EU MDR 2017/745

EU Medical Device Regulation

CE marking roadmap for European market access. Application planned as Class IIa medical device.

Roadmap ready
EU AI Act

EU AI Act

Classification as high-risk AI system. Transparency, explainability, and human oversight requirements.

Compliance analysis completed
KVKK / GDPR

Data Protection

Protection of personal health data. Thanks to edge computing architecture, raw EEG data never leaves the device.

privacy by design →
Compliant by design
IEC 60601-1

Electrical Safety

Basic safety and performance requirements for medical electrical devices.

Planning phase
Patent Applications

Intellectual property protection.

Application filed

Edge Computing BCI System

Real-time EEG signal processing and classification method on edge device. Cloud-independent operating architecture.

Application filed

Adaptive Learning Algorithm

Machine learning approach providing user-specific calibration and accuracy improvement over time.

Application filed

Multi-Language BCI Communication System

Multi-language text generation method in brain-computer interface with Turkish morphological analysis integration.

CE Certification Roadmap

CE marking process as Class IIa medical device planned with Q3-Q4 2025 target.

Ethical Approach

We develop technology within ethical boundaries.

Informed Consent

All users and test participants are clearly informed about data collection processes.

Data Minimization

Only the minimum necessary data is collected. Raw EEG signals never leave the device, only processed results are stored.

Explainable AI

Explainability metrics are used to ensure model decisions are transparent. Users can understand how the system works.

Human Oversight

The system always operates under expert human supervision in clinical contexts. Autonomous medical decision-making is not targeted.

Learn about compliance details.

Contact us for detailed information about our regulatory processes and certification roadmap.

Contact Us