We are embarking to provide researchers, physicians, and software developers the ability to interact with and develop upon, the world’s most extensive brain activity Big Data platform. That’s why we are innovating the definition of ‘interface’ in a “Brain-Computer Interface”. The key to our breakthrough is pre-FDA-approved hardware. With it, practically anyone can capture brain activity in a manner that allows it to be seamlessly processed for insights by Big Data-oriented AI/ML. Once a critical mass of brain activity data is achieved, we will sunset the hardware play, for a software play. Here, we will provide tools with which to interpret, analyze and build brain activity insights, products, and services. To realize this vision requires us to bring to market a comprehensive and affordable end-to-end technology stack that includes non-invasive brain activity mapping and monitoring, validated Big Data interpretation and insights, through compliance and deployment flows.
May 2018
Hardware, Software

Itay Asulin
Board Member and …


March 28, 2022
Mangrove Capital Partners

Date Announced

Round Stage

Round Size

Lead Investors

Mangrove Capital Partners
Venture Capital


Investor Type


Funds Raised

Our portable EEG headset is a culmination of four years of R&D. It houses patent-pending breakthroughs both in EEG hardware design, as well as state-of-the-art AI for signal denoising and data interpretation. After we collect a subject’s unique brain activity pattern data, we begin making sense of it. Using Machine Learning models combined with fully controlled VR experiences, we monitor the subject’s cognitive and mental states across a variety of situations, while performing crucial data labeling. Converting brain patterns to the “Latent Space of the Mind”, a compressed representation of brain activity that acts like a map, allows us to make sense of different human behaviors, for example, mood, cognitive load, fatigue and more – a quantum leap from attempting to explain behavior via external observations.
Artificial Intelligence, Machine Learning
Denoising, Localization

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