A neural-interface platform, from electrode to open data
The platform has three layers that work together: the wearable that captures the signal, the software that makes sense of it, and the open interfaces that hand the data back to the people building on it.
Comfortable, gel-free contact captures multi-channel brain signal.
Filtering and structuring turn raw voltage into usable, labelled signal.
Raw export plus APIs and SDKs put the data in the developer's hands.
Dry-electrode sensing, no wet setup
Traditional EEG needs conductive gel and a lab. Our dry electrodes make signal capture wearable and repeatable outside the lab, in two form factors chosen for comfort and everyday use rather than clinical bulk. The sensing layer is designed to get clean signal into the pipeline with minimal friction for the person wearing it.
A signal layer that does the hard part
Raw EEG is noisy. The processing layer filters, structures, and reports per-channel signal quality, so what comes out is something you can actually work with. We publish capabilities as they are validated, not before, and we are explicit about current limitations and supported conditions.
Open export and developer tools
The raw signal is exportable in standard formats, and the platform exposes APIs and SDKs so developers and researchers can build experiments, integrations, and applications directly. This is the core of the neural-data-infrastructure idea: the value is in giving builders real access to the signal, not locking it away.
- Raw-signal export in open, standard formats
- Programmatic access via APIs (REST / streaming)
- SDKs for common languages, to speed up building
- Per-session, consent-based handling of neural data
MachineDigit is early-stage neurotechnology and a research and developer platform. It is not a medical device and is not intended for diagnosis, treatment, or any clinical decision. Capabilities are described as they are validated.