Aligning AI to the human brain.
We turn involuntary biosignals into reward signals for the next generation of AI.
Our vision
The signal AI has been missing.
Frontier models are trained on the shadows of human judgment: clicks, thumbs, star ratings, written rationales. The signal that actually matters is the source: what the human brain detects, evaluates, and rejects. These responses are involuntary, information-dense, and personalizable.
Reinforcement Learning from Biofeedback (RLBF) captures them. We pair EEG with other biosignal modalities to produce reward signals that no annotation pipeline can replicate. Denser than preference labels, and capable of revealing subconscious effects like the uncanny valley.
What we are building
Model to capture stack to alignment platform.
Model
001A foundation model that maps multimodal biosignals to error and preference signals across text, audio, and video.
Capture Stack
002Lab-grade and consumer-grade hardware that records biosignals time-locked to stimulus onset with millisecond-accurate alignment.
Alignment Platform
003The pipeline from raw biosignal to a reward stream plugged directly into the post-training stacks of the labs building the world's most capable models.
careers