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CORVUS LABS

Brain-Computer Interface SDK

Research
CORVUS LABS

Developed a non-invasive brain-computer interface SDK that allows developers to build applications controlled by neural signals. Our proprietary EEG processing algorithms achieve 62 WPM thought-to-text translation—approaching natural typing speed. The platform includes real-time signal processing libraries, gesture recognition models, and accessibility-focused UI frameworks. Currently in clinical trials for ALS and spinal cord injury patients with 23 research institutions worldwide.

62
WPM Achieved
23
Research Partners
FDA
Breakthrough Device
Tech Stack
PythonTensorFlowOpenBCIWebSocket
Units on this engagement
Lead
RESEARCH
Signal decoding research and thought-to-text model
Contributing
PROTOTYPING
OpenBCI rig and electrode harness
Support
ML ENGINEERING
Decoder training and evaluation

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