Wearable brain-computer interface for human-computer interaction
MachineDigit is a non-invasive, wearable brain-computer interface (BCI) platform that turns EEG brain-signal data into software inputs. It pairs sensing hardware, PsiCore (temple patch) and Cogito (ear-worn), with signal-processing software and developer tools. Rev A is open to selected beta testers.
Human-computer interaction is still limited by physical input
Most digital systems depend on keyboards, touchscreens, controllers, and voice. They work, but they capture almost none of a person's cognitive state, attention, or intent. Brain-computer interfaces open a new input layer. MachineDigit is building a wearable platform that makes that layer practical to test, develop, and build on.
One platform: wearable device and software
Rev A hardware, PsiCore and Cogito, for capturing brain-signal data in practical, real-world testing environments.
Software that filters, structures, and interprets signal data for real-time use.
Dashboard, APIs, and interfaces for building experiments, applications, and integrations.
Early testers validate comfort, signal quality, interaction patterns, and real use cases.
Specs are published as they are validated, not before. Beta testers see exactly what PsiCore and Cogito can and cannot do, including current limitations and supported environments.
VIEW DEVICE OVERVIEW →From session to signal to software
A supported test session with the MachineDigit wearable.
The device records brain-signal data during the session.
The platform filters, structures, and analyzes the data.
Detected patterns become software-level inputs, commands, and states.
Tester feedback tunes comfort, reliability, and models.
Help shape MachineDigit before launch
Beta access is selective: developers, researchers, HCI and XR builders, accessibility partners, and early adopters comfortable testing early-stage neurotechnology.