From thought to text. End to end.
NeuroFlow uses a four-stage pipeline that converts brain signals to Turkish text in real-time. All computation happens on-device.
From signal to meaning.
Signal Acquisition
Ag/AgCl electrode array
8–32 channel configurable non-invasive EEG headset. Dry electrode option eliminates gel. Bluetooth 5.0 LE low-power wireless transmission.
Preprocessing
FPGA-based real-time filtering
Bandpass filter (0.5–45 Hz), notch filter (50 Hz), ICA-based artifact removal. Eye blink, muscle movement, and environmental noise elimination.
AI Model
CNN + LSTM + Transformer (Edge)
EEGNet-based convolutional layers for spatial feature extraction. Captures temporal context with LSTM and self-attention. Model runs on-device — your data never leaves.
Our MOABB benchmark results →Turkish NLP
Adaptive language model
Resolves the complex structure of Turkish through morphological analysis. User-specific word frequency analysis improves accuracy over time. Zemberek and custom tokenizer.
Your data stays on-device.
NeuroFlow's edge AI architecture ensures all EEG data is processed on-device. No raw brain signals are ever sent to the cloud. KVKK and GDPR compliant by design.
On-Device AI
Model runs on-device, no internet connection required
Zero Data Upload
Raw EEG data never leaves the device, only result text is shared
Why edge AI matters →Encrypted Storage
Local data encrypted with AES-256, protected with user key
Want to learn more?
Contact our team for technical details and enterprise solutions about NeuroFlow.