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Neuron’s SaaS: Making Advanced EEG Analysis Accessible for Researchers

10/25/2024 - Written by: Mina Jung, Head of Social Media Marketing

Electroencephalography (EEG), commonly known as brainwave monitoring, has become a go-to method for tracking brain activity due to its non-invasive nature and simple setup. However, interpreting EEG data can be challenging, often requiring highly specialized engineering expertise to extract meaningful insights.

At Neuron, we bridge that gap by leveraging advanced neurotechnology to quantify human cognition. Our proprietary algorithm translates raw EEG data into five core cognitive states—fatigue, stress, excitement, focus, and cognitive load—giving businesses and researchers real-time, objective insights into human behavior and mental performance.

We offer our powerful algorithm as a Software-as-a-Service (SaaS) platform, designed to simplify EEG data analysis for cognitive monitoring. What sets us apart is our no-code, headset-agnostic approach—our platform works seamlessly with any EEG headset, regardless of the manufacturer. For researchers, it’s as easy as uploading your EEG data, adjusting a few parameters, and letting the platform handle the rest. Neuron’s SaaS provides unmatched flexibility and ease of use, making advanced neuroscience accessible to research teams worldwide.

Neuron will soon demo our SaaS platform to neuroscience research teams and is currently in discussion with various EEG headset companies for potential partnerships in the near future. If you would like to learn more about our SaaS platform or discuss partnership opportunities, chat with our Founder & CEO, Soulaimane Bentaleb, for 30 minutes here.

Stay Tuned...

  • Neuron will soon demo our SaaS platform to neuroscience research teams and is currently in discussion with various EEG headset companies for potential partnerships in the near future!

Chat with Neuron

Want to learn more about Neuron’s services or discuss partnership opportunities? Chat with our Founder & CEO, Soulaimane Bentaleb, for 30 minutes here.

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