Our neurofeedback platform uses advanced AI to gather and connect the world’s best brain science, providing clear, personalized insights into your brain health. With our transparent, easy-to-understand explanations powered by a brain-like network (GNN), you can trust your results and understand exactly how they’re calculated.

What is NeuroFeedback 2.0

• Built around neuroplasticity

  We don’t just measure the brain; we help it change. The platform suggests gentle, step-by-step training that supports attention, calm, sleep, and recovery - always reviewed and approved by a qualified professional.

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• Multi-species learning model

  Our AI learns from both humans and other animals. That helps it understand how living systems take in sights, sounds, smells, and movement - and how they respond. The result is a smarter model that generalizes better and spots meaningful patterns faster.

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• A living brain “knowledge base”

  Signals flow into a constantly learning map of how brain rhythms, regions, and behaviors relate. This helps translate raw numbers into clear insights and practical next steps.

• Clear, explainable recommendations

  Every suggestion comes with a plain-English “why this” note, so clinicians, researchers, and partners can see which signals mattered and how they influenced the plan.

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• Rich signal coverage, one simple setup

  We read brainwave activity (EEG/qEEG), near-infrared brain oxygenation and blood flow (fNIRS), heart-rate variability (HRV), muscle and eye activity (EMG/EOG), plus data from compatible wearables. Sensors follow the standard 10–20 EEG map, so recordings are consistent and comparable from session to session.

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• Human-in-the-loop by design

  The AI assists; people decide. A neurofeedback provider or researcher can review, adjust, and approve each recommendation before it’s used.

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• Built for partners and scale

  Plug in BrainBit hardware or compatible devices, use our SDKs/APIs, and choose real-time or review-first workflows. The goal is simple integration today, with room to grow tomorrow.

Breakthroughs that set us apart

• Multi-species learning

  Our models learn from both human and animal data. That helps the AI understand how living systems respond to sight, sound, movement, and more - and how they adapt.

  
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  Neuroplasticity-aware design

  We don’t just measure what’s happening; we aim to help improve it. The system learns which steps tend to support attention, calm, or recovery over time.

• Massive data advantage

  We plan to train on what we expect to be one of the world’s largest neurophysiology datasets available to us, improving accuracy and generalization as the system grows.

  
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  Ontology + graph database

  The knowledge base encodes how signals, body metrics, and behaviors connect - so the AI can reason over relationships, not just single numbers.

• Neuronet with guardrails

  The AI continuously learns, but recommendations are always reviewed by a qualified professional before use.

  

Who it’s for

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  Telehealth and digital health platforms

  Add brain insights and neuroplasticity-based coaching to your service.

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  Wearable and device makers

  Bring your EEG, HRV, EMG, or other sensors; we provide SDKs and a clear integration roadmap.

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  Researchers and labs

  Graph-based knowledge, clean data pipelines, and a path to large-scale, multi-species modeling.

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  Neurofeedback practices and specialists

  An AI assistant that organizes data, flags what matters, and proposes next steps - under your supervision.

What is possible first?

• Reliable signal intake

  Plug-and-play with BrainBit systems and compatible partner devices.

• Clear summaries

  Simple views that translate complex brain signals into plain-English insights.

• Human-guided recommendations

  Draft training steps and checkpoints you can review and approve.

Safety, Privacy & Oversight

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  Human-in-the-loop by design

  The AI assists; professionals decide

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  Privacy first

  Built to meet demanding security and compliance needs; data ownership remains with the customer.

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  Transparent by default

  Clear “why this recommendation” explanations to support clinical judgment and accountability.