AI-Powered Neurofeedback for Autism

NeurOS brings clinic-grade neurofeedback home and into classrooms - making it adaptive, engaging and affordable.

Child using neurofeedback technology
Traditional neurofeedback session in clinic

The Challenge

Traditional neurofeedback requires 20-40 clinical sessions with a practitioner, driving cost and scheduling burden. Retention in existing solutions is low, with high dropout rates, limiting therapeutic impact. A full course can cost $4,000-$8,000, often not covered by insurance.

Our Solution

NeurOS combines a consumer EEG headband (Muse S Athena) with an AI-driven adaptive engine that emulates key functions of a trained neurofeedback practitioner, delivering personalized feedback in real time through in game mechanics. Children play mini-games while passively receiving feedback through dynamic on-screen cues that demonstrate brain activity.

Muse S Athena EEG headband

NeurOS Overview

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Neurofeedback, Made Fun

Through our games, like MindfulNest, children can passively engage in non-invasive neurofeedback, all while having a good time.

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Major Savings

A typical 20-40 session regimen of neurofeedback through NeurOS costs up to 95% less than traditional neurofeedback.

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Track Improvements

Via the NeurOS Portal, you can track the progress of your child's symptoms and activity in the NeurOS ecosystem.

Research-Backed Approach

Established Protocol

Aligns with the common 20-40 session neurofeedback course structure.

Comprehensive Outcomes

Tracks attention, communication, irritability via behavioral & EEG measures.

Cost Compression

$360 for a full regimen (vs the typical $4,000-$8,000 in-clinic).

Scalable Delivery

Operates globally from any location with minimal oversight.

Frequently Asked Questions

What hardware does NeurOS use?

The system uses the Muse S Athena EEG headband featuring dry fabric electrodes, multi-channel frontal/temporal coverage, IMU. Its low-friction, comfortable design, is perfect for students with Autism Spectrum Disorder. The system self-calibrates to the client quickly while we run automatic signal quality and artifact checks before and during sessions.

How is the experience personalized?

NeurOS collects EEG data during neurofeedback sessions. Our AI layer adjusts the neurofeedback effectiveness (similar to what a therapist does in real-time) both from the client's brain data and from caretakers' input. Over time, these metrics are tracked and used to more effectively provide neurofeedback to our clients.

What outcomes do you track?

We track session retention, session brain-data metrics, and qualitative guardian feedback to provide an optimal and customizable neurofeedback regimen for each student.

Upcoming Pilot Study

Join our pilot program with 20 children over a 40-session protocol assessing attention, communication, and irritability changes.

Join the Pilot