The stack behind
neural agency.
A neuroadaptive runtime for turning heterogeneous biological signals into calibrated, reversible machine action.
Multimodal by default.
EEG, EMG, gaze, task context, and device telemetry are fused before inference. No single sensor is treated as truth.
Personal latent space.
Subject-specific adapters preserve the signal grammar of each user while a shared model captures transferable structure.
Confidence before autonomy.
Every action carries uncertainty. The runtime can abstain, ask, or hand control back to the human at any point.
From raw signal to safe action.
Signal fusion
Synchronize EEG, EMG, gaze, motion, and task context into one timestamped stream.
Latent state
Compress noisy measurements into a personal representation of intent, workload, and uncertainty.
Policy gating
Every action passes confidence, reversibility, and human-override checks before it leaves the model.
Three loops. One runtime.
Acquire without assuming.
Every channel carries its own artifacts. The runtime keeps provenance, timing, and sensor confidence instead of collapsing the stream too early.
Adapt without drifting.
Shared representations learn transferable structure while a personal adapter protects the signal grammar that makes each person different.
Respond without taking over.
Policy gates decide whether to act, wait, ask, or hand control back. Reversibility is part of the architecture, not a disclaimer.
The product is not a decoder in isolation. It is a measured loop between a person, a model, and the world.