Our Technology

NEVOA-AI for Brain Implants and Wearables

NEVOA-AI is an embedded-AI for continuous monitoring of the brain in real time.
This AI is able to predict and potentially prevent brain-related catastrophes before happening. This is done by detecting anomalies in the brain activities and warning the users and/or the care professionals before the anomaly turns into an actual crisis.

Input and Output of NEVOA-AI
The AI engine is being designed to be able to receive input from various brain sensing devices. Such devices can be the commercial home-use wearable electroencephalogram (EEG) that stream the brain waves, the portable EEG devices in the ambulances, or deep electrode systems such Neuralink's "the Link". NEVOA-AI can be run as a standalone application on a brain sensing device or connect to such devices via an API on an edge network. The engine will monitor the brain signal in real time and give the warning alert upon detection of an anomaly. This warning can be as simple as an alarm to a more sophisticated recommendation to perform.


First use case: Epilepsy
An example for NEVOA-AI is finding personalized signal patterns that might appear minutes before a potentially fatal seizure taking place. Detecting such anomalies and alerting the person can potentially stop a large traffic accident with multiple casualties. Same AI has the potential to be used -in a longer time scale- to detect the early onset of dementia and intervene by increased (physical & mental) exercises or pharmacotherapy before it turns into a full-blown Alzheimer’s disease.

Meet NEVOA-E Device for Epilepsy

NEVOA is a non-invasive, easy to wear medical device that predicts seizures before they happen. The system alarms the patient and caregiver ahead of time.

The neural and biological signals of the patient are processed by our AI on a stand-alone miniature control system, which does not rely on any third-party, to make sure that there is always a reliable prediction warning. Our novel AI prediction system is patient-specific and is able to detect brain signal anomalies in noisy data while only requiring limited computational power. This non-invasive prediction system can be used day and night and worn 24/7. Patients and their caretakers or neurologists have a user-friendly dashboard that provides up-to-date status information.

Predicting seizures will keep patients safe but also free them from the burden of the unpredictability of seizures, it will allow them to do simple tasks such as cycling and driving, and participating in social events and having more work opportunities. Brain and physiological data will help find new biomarkers, enable better treatments, enhance existing technologies such as neuromodulation and pharmaceuticals to stop seizures before they happen. Neurological activity can tell us which interventions will be more effective for certain individuals and see side effects even before a patient feels them.

Co-creating together with patients

Together with patients were are developing NEVOA and building a community around epilepsy.

We have a dedicated product designer with drug-resistant epilepsy and a medical product designer who work together with patients

Gathering insights through in-depth interviews, surveys and focus groups

Using behavioural science and analysis tools to collect bias-free data

If you have epilepsy or if you are a caregiver of someone with epilepsy and want to participate in co-creating with us, please contact us.

The future of healthcare

Currently one in six people suffer from a neurological disorder and one in ten from a psychiatric disorder. The societal and economic burden of brain diseases continue to rise both in the number of people affected and with years lost due to disability.

"Currently, one in six people suffer from a neurological disorder and one in ten from a psychiatric disorder."

Governments are facing growing pressure to provide more and better treatments and support services. Due to the increasing population, aging, and chronic diseases we are seeing a paradigm shift in healthcare delivery: moving away from a centralized and ‘fragmented’ hospital system to a more personalized and ‘continuous care’ system.
Thanks to advances in biosensors, wearable, artificial intelligence and our growing knowledge about the human body, the healthcare system is being revolutionized in this direction.
With more data to analyze and solutions to offer, treatment regimens will become more tailored and effective. Managing seizures through continuous monitoring and prediction is an essential part of this paradigm shift. And epilepsy is only the first use case for us: our real-time AI-enabled brain monitoring technology will further be expanded to other neurological and neuropsychiatric disorders, wherever early detection of anomalies can play a key role in the course of treatment.