3EGA

3EGA

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Offering evidence-based decision support service to clinical psychiatrists who are treating recurrently depressed patients in order to increase their efficiency. Learn more
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€1.5k

Grant
Total Funding000k

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3EGA is an innovative startup that operates at the intersection of mental health and technology. The company specializes in developing advanced diagnostic tools and treatments for mental health disorders, leveraging big data and EEG (electroencephalogram) technology. Their primary focus is on improving the diagnosis and treatment of conditions such as bipolar disorder and depression.

3EGA's clientele includes healthcare providers, psychiatric clinics, and research institutions. The company operates in the healthcare and medical technology market, which is rapidly growing due to increasing awareness and demand for mental health solutions.

The business model of 3EGA revolves around the development and commercialization of their proprietary diagnostic tools and treatment methods. They generate revenue through the sale of these tools to healthcare providers and clinics, as well as through partnerships with research institutions. Additionally, they may offer subscription-based services for continuous access to their diagnostic platforms and data analytics tools.

The company's team comprises experts in various fields, including neuroscience, psychiatry, big data, and IT. Key members include Dr. Diego Milena, the founder and CEO, who is a neurowetenschapper (neuroscientist), and Slavoljub, the co-founder and CTO, who is an IT specialist. The advisory board features prominent figures such as Prof. Dr. Floortje Scheepers, Head of the Psychiatry Department at UMC Utrecht, and Prof. Dr. Folkert Asselbergs, a cardiologist at UMC Utrecht.

3EGA stands out in the market due to its unique approach of combining EEG technology with big data analytics to provide more accurate and personalized mental health care. Their innovative solutions aim to bridge the gap between mental and physical health, emphasizing that mental illnesses have physical manifestations that can be measured and treated effectively.

Keywords: mental health, EEG technology, big data, diagnostics, bipolar disorder, depression, healthcare, medical technology, neuroscience, personalized treatment.