Explore the proprietary patents and systems powering the AI Therapeutic Engine.
The AI Therapeutic Engine (ATE) is an LLM trained across 11 psychotherapeutic modalities. It receives a 1Hz Multimodal State Vector comprising EEG dominant frequencies, HRV parasympathetic metrics, and facial EMG valence. Based on this, it dynamically transitions between Jungian exploration, CBT grounding, or somatic interventions in real-time.
Unlike systems that normalize states, the Active Biofeedback Amplification Loop (ABAL) proactively searches for sensory parameter configurations (lighting color temp, binaural beats) that measurably amplify the patient's Altered-State Depth Index (ASDI) while maintaining a high safety/valence score.
The Digital Shaman Synchronization Protocol (DSSP) phase-aligns all ATE outputs to the patient. Haptic vibrations match breath cycles, ambient lighting pulses mirror the cardiac R-R interval, and the AI's vocal prosody matches the patient's tempo—creating a bidirectional co-evolution loop.
The ATE ingests, with explicit consent, patient social media expression, music consumption history, and mobile behavioral signals. The NLP module extracts recurring emotional themes, metaphor patterns, and areas of unresolved pain to construct a multidimensional psychographic model, generating a Personalized Sensory Resonance Code.