The API platform for the General Learning Encoder (GLE) — turning any numeric signal into frequency-domain intelligence
BAGLE provides API access to the General Learning Encoder (GLE), a signal-agnostic encoder that transforms any numeric signal into 128 frequency-domain coefficients using DCT-II compression. One encoder works across EEG, breathing audio, metabolomics, voice, and any other biosignal.
Built by Univault Technologies, BAGLE enables developers to build health-aware applications without needing expertise in signal processing or machine learning. Send samples, get coefficients — then classify, compare, or monitor.
Raw health data never leaves the user's machine. Only compact coefficients travel the network.
One encoder for every signal type — EEG, breathing, metabolomics, Raman spectroscopy, voice.
97.65% EEG consciousness, 94.67% T2D detection, 91.45% PD/AD screening — all peer-review ready.