The Future of Brain-Computer
Interfaces is Non-Invasive

Founding Mission

Traditional deep learning paradigms have failed to bring non-invasive neurotechnology to the next level. We believe that the Manhattan Project for non-invasive BCI is inevitable. The potential to revolutionize the safe diagnosis and treatment of all neurological conditions is too great to ignore.

Neuralis™

The first widely available platform to monitor the visual cortex is now in clinical trials for non-invasive wheelchair control. Our unique platform can be used for Alzheimer’s and Autism diagnostics, as well as a powerful tool for neuromarketing.

Clinical Trial - Recruiting Now

Current Research

Powerful breakthroughs in deep learning for BCI

NeuroDiffusion™

Harness unparalleled EEG/EMG de-noising through our API, available for free through our developer dashboard

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BrainID™

Quantitative fingerprinting of neural signals for deterministic recognition through non-invasive EEG

EMG-to-Text

Syllable by syllable EMG classification through non-invasive mastoid recording (work in progress)

Developer API Dashboard ↗

Founding Team

Aryan Govil

Co-founder

Fmr. Clinical Neuroscience Alzheimer's research at NYU Langone and Grossman SOM, Columbia University, UC Irvine

Eric Yao

Co-founder, CTO

Research in time-series forcasting & quant modeling at AGP, deep-learning, signal processing. Fmr. SWE at Applied Software

Rishi Arjun

Founding Software Engineer

Fmr. SWE at Doordash, UCSF neuroimaging, computer vision at Plethy, DeMind, UC Berkeley

Raghav Katoch

Principal Hardware Engineer

Fmr. NYU Langone (Wearable optical tomography imaging system, Cancer imaging, surgical systems & devices)

Advisors

Jeff C. Jensen

CTO Xronos Inc.

Fmr. CTO at Blackrock Neurotech, VP Engineering, Director of Software Engineering at Creator

Inder Singh

Fmr. CEO at Kinsa, acquired by HealthyTogether, predicted COVID before the CDC

David Zabell MSOTL, ATP

Senior Clinician, Advanced Occupational Therapy Seating & Mobility Program at New York- Presbyterian

Trush Majmudar, PhD

Clinical Professor of Mathematics at New York University and formerly at MIT. Leading figure in AI, artificial neural networks, and machine learning research