Type without typing.
Speak without sound.
Hylaq Quiet is the cross-vendor neural-input layer of Hylaq. Whisper into your phone — or in a year, mouth the words to your wristband, or in five, think them to your implant — and Quiet turns the signal into text, commands, and messages.
Hold the button, whisper at the lowest volume your throat will produce. Whisper-v1 + GPT-4o-mini cleanup turn it into clean text in ~2 seconds.
AAC for ALS, locked-in, post-stroke. Mouth the words or tap a phrase; the device speaks. Free forever. The moral license that earns us the rest of the neural layer.
One pipeline, every signal
Modern LLMs are good enough that even very noisy signals (whispers, EMG sub-articulations, low-bandwidth EEG) decode reliably once the refiner has the user's recent context. This is why subvocal is tractable in 2026 and wasn't in 2020.
Signal sources
Mouth the words at whisper volume. Whisper + LLM cleanup. Works in any browser today.
Forearm wristband (Meta CTRL-Labs, Pison) — silent finger micro-gestures decoded as text.
AirPods-class scalp electrodes — focus state, attention level, basic intent.
Neuralink / Synchron / Precision implants — full-bandwidth motor + speech decode.
Privacy posture
For developers
One endpoint, every signal kind:
POST /api/quiet/decode
Content-Type: multipart/form-data
audio: <Blob> // today: webm/ogg/wav
handle: @colt // optional, for session context
hint: "send message" // optional, biases the refiner
→ { ok, text, raw, edited, decodeLatencyMs, refineLatencyMs }