Brain sensing,

Built in.

The IDUN Brain Sensing Integration Package (BSIP) is a complete, modular platform enabling OEM and ODM partners to integrate brain sensing, real-time cognition, and neuroadaptive user experiences into consumer earbuds.

Accelerate EEG Earbuds Development

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Product Design

Hardware Integration

Embedded Intelligence

Unique End-User Products

Proven in the Real World

The IDUN Guardian product family including the IDUN Guardian 4 and Guardian 5 serve as reference products and technology implementations of neuro-adaptive products. Built for everyday wear, they demonstrate what is possible in a consumer-ready form factor.

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Everything needed to develop and ship brain sensing earbuds.

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IDUN works with leading chip producers including Analog Devices and Qualcomm to power the IDUN Guardian brain sensing earbuds and ensure stable supply chains with certified reference designs. IDUN engineers are expert in certifying new chip components and porting code to new platforms.

From in-ear signal acquisition to context-aware applications, the BSIP provides everything needed to accelerate development from idea to consumer neurotechnology product release.

Partner with IDUN to bring your brain sensing hearables product to market faster, with the technology stack, IP, and manufacturing support you need.

BSIP Core Features

From EEG ear tip electrodes to full EEG Earbud reference designs and end-user neuro-adaptive apps, the BSIP provides everything product and development teams need to build advanced brain sensing earbuds

EEG Electrodes

Comprehensive electrode designs for EEG wireless earbuds

Edge Processing

Process brain data at the edge, ensuring privacy by design

Brain State Classifiers

Use proven brain state classifiers directly in your products

End-User Apps

Build apps fast with app templates and our SDK

Get in touch with us to book a meeting and discuss how we can support your product development.

Hardware

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Core

End-to-end EEG earbuds design and manufacturing.

 

  • Product design and form-factor
  • IDUN Dryode EEG ear tip electrode
  • Reference designs for rapid development
Firmware

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Edge

Real-time intelligence at the edge, integrated EEG sensing and audio.

 

  • EEG signal processing and embedded feature extraction
  • Enhanced data privacy for neuro data
  • Low-latency data pipelines
Hand's Free UI

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Interaction

Eye and mouth movements wirelessly control devices.

 

  • Cognitive-state-driven device control
  • Active, hands-free UI navigation
  • Intent-driven interactions
Neuro Algorithms

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Insights

Brain activity algorithms abstract away neuroscience from development.

 

  • Brain Engagement and Relaxation
  • Advanced insights - fatigue, cognitive load, sleep metrics
  • Brain-Battery - flagship feature
Personalization

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Context

Expandable intelligence layer connecting users to their brain and lifestyle.

 

  • Brain metrics + user intent + behavioral signals
  • Context-aware brain state personalization
  • Longitudinal user trends
Software

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Experience SDK

Build neuroadaptive apps quickly with the SDK and app templates for mobile and web.

 

  • Neuro-adaptive UX journey design
  • Mobile SDK with React integrations
  • Dashboards, adaptive, audio, wellness

In-ear EEG Ear tips

Measure brain activity from the ear canal using IDUN Dryode electrode technology. Designed to scale and the industrialization needs of OEMs.

Qualcomm S7 Sound

We built our reference designs on the Qualcomm S7 Snapdragon Sound platform. The S7 provides excellent voice and audio.

Edge Processing

Brain data is efficiently processed locally on device with the IDUN Edge signal processing library.

EEG Biosensing

We utilized biopotential amplifiers from Analog Devices to pack EEG sensing into earbuds at 250 Hz.

Motion Sensing

On-board motion sensing enables human activity recognition and sensor-fusion for algorithm development.

Power Efficient

Developed for all-day use. Battery usage optimized for brain sensing and efficient signal processing alongside audio usage.

Cloud Ready

If needed, direct integration to customer cloud platforms directly through the IDUN Guardian API or app to cloud connection.

User Comfort

Built for user comfort. EEG earbuds designed to look and feel like everyday earbud and seamlessly integrate to users' lives.


IDUN Cognitive Intelligence Platform.

The IDUN Brain Sensing Integration Package goes beyond earbuds hardware. We offer a full-stack neuroadaptive computing platform for the next generation of consumer hearables. OEMs can build advanced brain sensing apps without a full neuroscience team.

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IDUN Insights Mobile App.

The IDUN Insights app demonstrates the full potential of the IDUN Cognitive Intelligence Platform to empower users to understand the relationship between their lifestyle choices and their cognitive fitness.

The Insights app includes full implementation of the IDUN Brain-Battery algorithm and Context Data Model, showing how your brain changes during the day. Log activities and build your Brain Context map to optimize your cognitive fitness.

Through Partnership integrations we show how apps can be built that adapt to user needs. Music, media and Generative AI can all now understand users in personalized, intuitive ways.

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  • Cognitive Metrics

  • Context

  • Insights History

  • Sessions

  • Audicin – Binaural Beats

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Understand the Brain

Central to the IDUN Insights app is the IDUN Brain-Battery flagship feature. The algorithm measures and reports the balance between Engagement and Relaxation during the day of end-users.

When paired with Context and Insights History the Brain-Battery gives users an understanding of how their Cognitive Readiness is changing during their lives.

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Context

Measuring brain activity with lifestyle context allows users to really understand how different choices and activities affects brain cognitive metrics. Context is an expandable data model that pulls in data from different sources as well as user input to build personalization for end-users and customers.

OEMs can accelerate their products, building unique value for customers not available with other wearables.

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Insights History

Our flagship feature, the Brain-Battery provides calculation of Engagement and Relaxation. These unique features allow users to understand their cognitive wellness and open new product opportunities for OEMs.

When combined with the Context Data Model, users can dive into their analytics to see how their lifestyle choices impact cognitive fitness. Personal plans and interventions can also be built, driving unique value for customers and end-users.

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Sessions

Sessions are tailored interventions that help users impact their cognitive wellness journey. Sessions helps users take tailored breaks for relaxation, focus, meditation, etc. IDUN partners with companies to build out new intervention sessions and create rich content to build cognitive fitness and personalization.

Sessions provide a unique way to drive value to customers and users' lives.

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Audicin – Binaural Beats Session

IDUN partnered with Audicin, a developer of Binaural Beats audio tailored with neuroscience research to specifically target specific states of focus and relaxation. Integrated in the Insights app as a custom Session, users can see the impact of Audicin audio on their cognitive metrics.

This partnership shows how flagship features can be integrated together to build unique products.

Get in touch with us to book a meeting and discuss how we can support your product development.


Brain Sensing,

Engineered for trust.


IDUN Brain Sensing Integration Package is not just EEG in earbuds. It is a full-stack neuroadaptive computing platform for the next generation of consumer devices. Partner with IDUN to bring your brain sensing hearables product to market faster, with the technology stack, IP, and manufacturing support you need.


Scientific validation.


IDUN Guardian Earbuds and in-ear EEG brain signals have been validated extensively both internally and independently with customers and research institutions. Results have been reported in peer-reviewed scientific journals and have been presented at international conferences.

Peer-reviewed

Machine Learning-based Classification of Cognitive Workload via In-ear EEG

Cisotto et al., ICST4Health 2025

Conference

Measuring Sleep Depth with Odds Ratio Product (ORP) and In-ear EEG Earbuds

E. Meier et al. 2024

Conference

Paired in-ear and scalp EEG shows psilocybin-induced alpha desynchronization and allows for prediction of treatment state

S. Ahmed et al., ALPS Conference 2023

Conference

Preliminary validation of in-ear EEG against PSG system for sleep staging Sleep Medicine

Wälti et. al Vol 100, Supp 1, Dec. 2022.

Peer-reviewed

Advancing towards Ubiquitous EEG, Correlation of In-Ear EEG with Forehead EEG

Mandekar et al., Sensors 22(4): 1568 (2022).

Peer-reviewed

Characterization of Periodic and Aperiodic Activity of Single-Channel in-Ear Electroencephalography

Rakotoranto et al., 2025

Peer-reviewed

Estimating cognitive workload using a commercial in-ear EEG headset

Tremmel et al. 2024

Peer-reviewed

Comparison analysis between standard polysomnographic data and in-ear-electroencephalography signals: a preliminary study

 Palo et al., Sleep Advances 2024