IDUN GUARDIAN 4 STARTER — PRESALE

Guardian Starter

 

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IDUN Guardian 4 Starter

CHF 999.- CHF 1'299.- after presale

The IDUN Guardian 4 introduces brain-sensing capabilities to consumer earbuds. By integrating precise motion sensing, sound and neural signal processing, the IDUN Guardian 4 unlocks a new level of human-computer interaction, bridging the gap between brain activity, movement, and digital experiences. See all specs

  • Webapp / SDK / API Access
  • Raw EEG and IMU access
  • Real-time and batch data (csv.) access
  • 12 hours on device storage
  • Cloud connection needed

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Beyond data, real insights

Unlock Your Cognitive Readiness

The IDUN Guardian 4 translates your session into a clear "Cognitive Readiness" score. Track your progress and learn what it takes to perform at your peak.

Your Mind in Real-Time

Live neurofeedback visualizes your engagement and relaxation. Actively guide your mental state as it happens.

Visualize Your Journey

The progress graph pinpoints when your focus peaked or relaxation deepened, helping you replicate those results.

Need clarification?

All frequently asked questions are here. For more safety information, check our documentation or book a meeting with us

EEG (Electroencephalography) is a non-invasive neuroimaging technique that
records the brain's electrical activity using conductive sensors placed on the scalp
or in our case, in the ear. It is a widely adopted method in neuroscience research
and is being used for consumer neuro-feedback and wellness products.

Even though you will be able to enjoy the fullest of our device if you have EEG know-how, you can still work with the IDUN Guardian without being an expert. Our device comes with an extensive list of classifiers that analyze the raw EEG data for you, such as frequency band classification, jaw clench, and eye movement detection, making it easy to develop applications even without prior EEG knowledge.

Find more information here.

 

In-ear EEG has been validated in research for the past decade in different use cases. In-ear EEG provides an ease of comfort and wearability that full-scalp EEG cannot achieve but it cannot provide the same richness of information such as spatial localisation as the full-scalp EEG does.

Please find here our white paper and peer-reviewed literature for more details.

2 that are both located in the ear-canal. Please see the specification for more information.

Yes, the IDUN Guardian 4 is audio capable, making it a true earbud like you are used to on top of providing you with brain and movement data.

No, the IDUN Guardian 4 is not a medical device. The IDUN Guardian 4 is a consumer wellness and research device and is not intended to diagnose, treat, cure, or prevent any disease or medical condition.

The information provided by the device is for informational purposes only and should not be used as a substitute for professional medical advice, diagnosis, or treatment; always consult a qualified healthcare professional with any health concerns.

The IDUN Guardian is intended for research purposes only and has not been evaluated by the FDA.

 

The data is streamed and stored on our EU cloud in Germany.

For more information please visit our data privacy policy and neuroethics charter.

Yes, please add the Hardware Unlock for Offline Usage to your IDUN Guardian 4 Starter. You can buy this at any time. Be aware that this add-on only works with our SDK and API.

We are planning to be ready with CE and FCC certification for the consumer market in Q2 2026 and therefore able to ship by Q2 2026.

Product details

Easily monitor your brainwaves and develop innovative applications with the IDUN Guardian 4. These earbuds enable you to listen to music while recording in-ear
electroencephalography (EEG) data and movement (IMU) while ensuring a fast, stable, and efficient wireless communication with its advanced Bluetooth 5.4, LE Audio, and Wi-Fi capabilities.With the IDUN Guardian Earbuds, EEG recording and monitoring can be done  unsupervised in a home environment, providing information on various biometrics. To simplify your application development, even without prior EEG knowledge, the Earbuds come with an  extensive list of classifiers that analyze the raw EEG data for you, such as frequency band classification, jaw clench, and eye movement detection.

Connectivity

Bluetooth 5.4, A2DP/HFP, Bluetooth LE Audio/Auracast
Optional: Qualcomm XPAN support for whole-home and building-wide coverage

Audio

Qualcomm® S7 Sound Platform with HiFi-grade stereo audio codec 24-bit/192kHz lossless audio streaming over Wi-Fi
Adaptive Active Noise Cancellation (ANC)
3µs DSP latency
Dedicated AI cores for hearing loss compensation, transparency mode, and noise management

Audio Driver

Dual Diaphragm Balanced Armature Driver
111 dB SPL @ 100mV, Max SPL 120–126 dB, THD 0.3% @ 94dB, 0.4% @ 100dB

Dryode® Duo

2CH Eartip Dry-contact EEG sensors for stable, high-quality signal acquisition
Comfortable for long-term wear without gel or prep
Impedance < 20 - 200 kOhm (typical)
6 months average usage time

Analog Front-End

4-channel ultra-low power AFE for EEG, ECG, and BioZ measurements
High input impedance (>1GΩ), low noise (0.22μVRMS)
250 Hz Sampling Rate
CMRR > 110 dB
AC Dynamic Range 200 mVpp
BioZ channel for respiration tracking and ETI characterization
Active right leg drive (RLD) circuit for noise suppression
Compliant with IEC 60601-2-47 and IEC 60601-2-27 standards

IMU

6-axis IMU (accelerometer + gyroscope)
Sub-millisecond latency for synchronized EEG and motion data
Motion artifact reduction for clean EEG signals
6-DoF head tracking and motion classification

IMU

6-axis IMU (accelerometer + gyroscope)
Sub-millisecond latency for synchronized EEG and motion data
Motion artifact reduction for clean EEG signals
6-DoF head tracking and motion classification

Software

Web and mobile apps for data recording, impedance, battery check, EEG streaming, insights
Sleep and daytime reports, preset experiments, CSV export
TS SDK for customized app workflows
Python SDK & Public API for real-time EEG, IMU, classifier access
Secure API-key authentication, LSL support for live streams

Real-Time Classifiers

Jaw Clench Detection for hands-free control
Eye Movement Tracking (left/right) for interaction monitoring
FFT for real-time spectral decomposition of EEG signals
Fatigue tracking and break management (in development)
Relaxation and calm
Cognitive Workload (in development)
Activity
Listening effort (in development)
Peak Alpha (in development)
Brain-Battery (cognitions, stress, recovery, in development)

A user-friendly solution for recording and managing EEG data without coding. Ideal for users seeking an intuitive interface to visualize, analyze, and manage brain data.

  • Device onboarding and FAQ
  • Record, store, and download EEG and IMU data in CSV format
  • Monitor connectivity and battery life
  • Generate sleep and daytime reports for cognitive and fatigue assessments
  • Live stream EEG data and insights (raw, filtered and classifier output)
  • Preset experiments to simplify EEG-based studies

Our TS SDK is the easiest and fasted way for developers to build custom applications on top of the Guardian ecosystem or integrate into their existing solutions.

For developers and researchers who need batch or real-time access to EEG or movement data access or derived insights:

  • Record, store, and download EEG data for advanced analysis.
  • Impedance testing and battery monitoring.
  • Secure API-key authentication for user privacy and data security.
  • Access real-time inferences from raw EEG, IMU, and filtered data.
  • LSL (Lab Streaming Layer) support for live data processing.

Guardian Brain Battery(r)

  • Jaw-Clench Detection – Recognize jaw muscle activity for hands-free control.
  • Eye-Movement Tracking – Detect left and right eye movements in real time.
  • FFT Analysis – Decompose EEG signals into frequency bands for deeper cognitive state insights.

These classifiers are fully accessible via the Python SDK and Public API, enabling seamless application integration.

Classifier coming soon to IDUN Guardian (currently in development):

  • Fatigue tracking and break management
  • Relaxation and calm score
  • Cognitive Workload and Risk for productivity and high-stakes environments
  • Activity detection to contextualize brain data
  • Brain-Battery, cognitions, stress, recovery