Why BrainAccess?

At BrainAccess, we create intelligent, portable, and affordable EEG systems.

Our solutions are designed to simplify and accelerate brain research, BCI development, and cognitive applications.

You think about discovery. We handle the rest.

Electroencephalography (EEG) has evolved from a niche laboratory tool into one of the most versatile technologies for understanding, interacting with, and augmenting the human brain. Thanks to advances in portable hardware, AI-driven analysis, and flexible software, EEG is now accessible to researchers, developers, and innovators across diverse domains.

At BrainAccess, we design mobile dry-contact electrode solutions designed to bridge the gap between cutting-edge neuroscience and real-world applications.

BRAINACCESS PRODUCTS ARE SUITABLE FOR

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Scientist exploring brain mechanisms

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Educator teaching cognitive neuroscience

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Companies building neuroadaptive products

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Students and developers exploring the brain and creating their own BCI apps

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Researchers working in the field who need lightweight, portable, efficient solutions

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Individuals who want to improve productivity, relaxation, meditation, and more

KEY AREAS WHERE BRAINACCESS EEG SYSTEMS EXCELS

Neuroscience Research

EEG remains a cornerstone in neuroscience, allowing non-invasive measurement of brain activity with millisecond precision.

BrainAccess solutions are optimized for experimental use, combining high-quality data with portability and ease of setup.

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Cognitive Neuroscience

Studying attention, perception, memory, and decision-making in both lab and real-world environments. Measure alpha oscillations, event-related potentials (ERPs) in response to stimuli, and more.

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Clinical Research

Investigating biomarkers of neurological conditions such as epilepsy, or sleep disorders. Dry-electrode systems reduce setup time, making EEG practical for patient studies outside the clinic.

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Naturalistic Experiments

With mobile EEG, researchers can move beyond controlled labs and study brain activity in everyday environments, such as while watching films, or engaging in conversations.

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Lowering Barriers

By being easy and affordable, BrainAccess empowers universities, educators, companies, and independent labs to explore the brain more flexibly than ever before.

Get in touch with us for a collaboration or if you need more information.

Our team includes experts from multiple backgrounds who can support you and help you design your experiment and tackle different challenges.

BrainAccess kits are not medical devices and are intended for research, scientific, educational, general wellness, or non-clinical development purposes.

Brain-Computer Interfaces (BCI)

Translate neural activity into control signals, enabling direct interaction between the brain and external devices.

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Assistive Technology

Enabling communication or mobility aids for individuals with severe motor impairments, such as controlling a cursor, wheelchair, or robotic arm using brain signals.

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Gaming and Entertainment

Creating immersive neuroadaptive games where difficulty adjusts based on engagement or emotional state.

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Hands-Free Interfaces

Using motor imagery and custom protocols to control drones, smart home devices, or augmented reality systems without physical input.

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Custom BCI apps

BrainAccess hardware and SDKs allow developers to prototype and test BCI applications rapidly, supporting innovation in both academic and commercial settings.

Real-world example

In two recent studies [1, 2] using our BrainAccess MIDI device, researchers explored a novel BCI system designed to enhance attention in children and teenagers by dynamically adjusting environmental distractions (such as temperature, lighting, noise, and font size). Participants completed a variety of tasks, from memory games and quizzes to chess and reaction-time challenges, while their EEG signals were continuously recorded. A concentration index based on brainwave patterns guided real-time changes in the environment through a binary search mechanism. The system achieved 94% classification accuracy, effectively distinguishing between focused and unfocused mental states and adapting on the fly.

Read the full blog post here.

Find out the most popular BCI protocols on our blog.

Cognitive and Mental State Monitoring

Understanding mental states in real time opens the door to applications that adapt to users’ needs.

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Fatigue and Vigilance Tracking

Monitoring drowsiness in drivers or pilots, alerting them when attention levels drop.

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Workload and Stress

Evaluating cognitive load in high-pressure environments (e.g., air traffic control, surgery, or military operations).

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Well-being and Meditation

Providing neurofeedback to help individuals achieve relaxed or focused mental states during mindfulness and wellness practices.

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Neuroadaptive AI Systems

Developing systems that adapt to changes in EEG signal to adjust responses, UX, or interactions in real time.

Real-world example

A group of researchers using BrainAccess EEG devices developed an affective computing system that classified emotions into three key dimensions: valence, arousal, and dominance. Using machine learning algorithms (including Artificial Neural Networks) they achieved up to 95.61% accuracy in recognizing emotions from EEG data. [3]

Prototyping and Developing

For engineers, data scientists, and innovators, EEG is a playground for experimentation.

BrainAccess solutions are built to support prototyping and iterative development.

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SDK & API

Accelerate the process of moving from an idea to a working prototype thanks to our SDKs in multiple languages.

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AI & Machine Learning

Training algorithms on EEG data for classification tasks such as mental state decoding, anomaly detection, or personalized feedback.

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App Development

Building mobile applications with our Kotlin SDK. Integrate real-time EEG feedback, from productivity apps to creative music tools or neurofeedback loops.

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Hardware Integration

Pairing EEG with VR headsets, wearables, or IoT devices to explore multimodal interaction. All this is possible with our lightweight, portable, and fully wireless EEG amplifiers.

Heroes of the Brain: our Neurohackaton with KN Neuron

Every year we are proud to sponsor Heroes of the Brain, an event organized by KN NEURON, the neuroscience student association at Wroclaw University of Science and Technology.

This neurohackathon is a unique opportunity to see brilliant minds in action: developers, researchers, and brain-tech enthusiasts compete to build the best BCI application in just 24 hours using our BrainAccess devices and development tools (SDK and API).

The 2025 edition took place on November 29, and it was an absolute blast! Participants dove enthusiastically into our new releases, explored the updated tools, and impressed us with their creativity, teamwork, and passion for neurotechnology.

Read more about last edition on our blog.

Education and Training

Ideal for classrooms, workshops, and at-home learning environments where time, comfort, and accessibility matter most.

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University Courses

Demonstrating neural oscillations, ERPs, or BCI principles with live EEG recordings.

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STEM Outreach

Engaging students in neuroscience through interactive demonstrations such as controlling a game with brain signals.

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Professional Training

Teaching clinicians, psychologists, or engineers how to record and interpret EEG data.

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Effects of AI on Learning

Evaluate how AI tools influence teachers’ and students’ attention, cognitive effort, and workload during the educational process.

Teaching neuroscience and human-computer interaction can be difficult without practical, hands-on tools. BrainAccess makes EEG approachable and engaging for classrooms, workshops, and training programs, giving students the chance to explore brain activity in real time.

Beyond teaching, EEG can also become a tool inside the classroom itself. With BrainAccess, educators and researchers can non-invasively measure students’ and teachers’ engagement, attention, workload, cognitive effort, and even aspects of well-being during the learning process. This opens the door to more evidence-based teaching, adaptive learning environments, and deeper insights into how people learn and communicate.

Read more on our blog.

AItools4 teachers: a collaboration with Riga university (Latvia)

The Artificial Intelligence Tools for General Education Teachers (AItools4Teachers) project investigates how AI technologies can improve teachers’ work efficiency in Latvian K–12 schools, with a focus on non-contact time (NCT) tasks such as lesson planning, material creation, assessment, and communication.

The initiative aims to identify ethical, effective, and practical ways for educators to integrate AI into their daily workflow to enhance productivity, well-being, and work-life balance.

Its key goals include reviewing international best practices, evaluating how AI tools influence teachers’ NCT efficiency and well-being, and developing a national strategy for implementing AI in K–12 education.

As part of the project, BrainAccess HALO devices will be used to monitor how teachers’ brain activity and cognitive state change while using AI tools, providing objective insights into the cognitive load and efficiency effects of AI-assisted workflows.

Neuromarketing

Use EEG and physiological measures to understand how people respond to products, advertisements, and experiences.

BrainAccess offers a cost-effective and scalable way to apply EEG in commercial research.

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Advertising

Measuring engagement and emotional responses to TV commercials, online videos, or product placements.

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Product Design

Testing packaging, branding, or retail layouts to identify what captures consumer attention.

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UX and Media Research

Understanding how users interact with apps, websites, or games on a cognitive and emotional level.

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Game theory & Neuroeconomics

EEG can be used to study costumers and player’s behavior and understand unconscious drivers.

Read more about neuromarketing and the science behind consumer research on our blog.

Hyperscanning

Recording EEG simultaneously from multiple people, enabling the study of social interactions and shared brain dynamics.

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Collaboration Research

Measuring neural synchrony between team members working together on problem-solving tasks.

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Education

Analyzing teacher-student brain coupling during lectures or group learning.

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Communication

Explore the neural foundations of real-world communication, from conversations to joint decision-making, by tracking how brains align during interaction.

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Social Interaction

Assess brain synchrony in natural or structured settings, including collaborative and competitive games or tasks, or everyday social exchanges.

BrainAccess makes hyperscanning remarkably easy and accessible. Our devices are fully wireless, comfortable, and portable, so participants can interact naturally, whether they’re sitting in a lab or moving freely in real-world environments.

With built-in multi-device support, you can connect several BrainAccess systems at once and stream all data in real time.

Thanks to native LSL (Lab Streaming Layer) synchronization, every device stays perfectly aligned on the same timeline, allowing researchers to compare brain activity across participants with high accuracy.

The BrainAccess Board desktop app and the mobile app both support multi-device recording, from a controlled lab setup using one computer, to mobile hyperscanning using multiple phones on the same Wi-Fi network. You can even combine the two in hybrid experiments.

Because BrainAccess provides SDKs (C, Python, Kotlin, etc.) and works across platforms like Windows, Linux, and Android, researchers can easily build their own custom multi-user BCI or social neuroscience applications.

BrainAccess is ideal for hyperscanning because it offers:

Wireless, portable devices for natural interaction
Seamless multi-device connection
Precise timing and sync through LSL
Flexible desktop, mobile, and hybrid setups
Open tools for building custom experiments

With hyperscanning, BrainAccess enables researchers to explore how brains connect across groups, providing a scalable and user-friendly way to capture synchronized brain activity from multiple people at once.

Versatility in Action

The strength of BrainAccess lies in its adaptability.

A single device can move between fields: used for BCI research one day, classroom demonstrations the next, and neuromarketing studies the following week.

This flexibility reduces cost and maximizes impact, ensuring that EEG technology is no longer confined to specialized labs but becomes a widely applicable tool for science, education, and industry.

BrainAccess solutions open doors across disciplines, from fundamental neuroscience to applied industry research. By making EEG more accessible, portable, and developer-friendly, BrainAccess empowers a new generation of discoveries and applications. Our technology supports research in cognitive neuroscience, brain-computer interfaces, wellbeing monitoring, neuromarketing, and human-machine interaction—areas that traditionally required expensive or specialized laboratory setups.

By removing financial, technical, and logistical barriers, BrainAccess enables researchers, developers, clinicians, startups, and educators to incorporate EEG into real-world environments and workflows. Projects that were once limited to large institutions can now be carried out by smaller labs, university programs, or independent innovators.

Whether you are exploring cognitive processes, developing next-generation interfaces, or studying group dynamics, BrainAccess gives you seamless access to the brain, allowing you to collect high-quality EEG data anywhere, iterate faster, and unlock insights that drive scientific progress and innovation.

BrainAccess products are developed by Neurotechnology UAB.

Publications with BrainAccess

[1] Darius-Cristian, B., Mihai-Robert, B., Andrei, B., Tudor, D. B., David, G. I., & Amalia-Ioana, R. (2024, October). Boosting Cognitive Focus via Binary Search of Attention Types Using Brain-Computer Interfaces. In 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 4512-4513). IEEE.

[2] Mihai-Robert, B. E. U., DURDUMAN-BURTESCU, T., & ISTRATE, D. G. (2025). Boosting Cognitive Focus via Attention Types Detection using Brain-Computer Interfaces: A Pilot Study. Applied Medical Informatics, 47(2).

[3] Salim, I. L., Awad, O. A., & Abdulhadi, A. S. (2024, November). An Affective Computing Electroencephalogram-based System with Machine Learning Algorithms. In 2024 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM) (pp. 1-8). IEEE.

[4] Salim, I. L., Jalal, A. S. A., & Awad, O. A. (2024). A Dataset for Emotion Recognition for Iraqi Autism Individuals as a Step Towards EEG-Based Therapeutic Intervention. Iraqi Journal of Information and Communication Technology, 7(3), 55-70.

[5] García-Ramírez, Y., Gordillo, L., & Pereira, B. (2025). Electroencephalography Dataset of Young Drivers and Non-Drivers Under Visual and Auditory Distraction Using a Go/No-Go Paradigm. Data, 10(11), 175.

[6] Kubascik, M., Karpis, O., & Sevcik, P. (2025). Prosthetics control using biosignals based human-machine interface and machine learning. IFAC-PapersOnLine, 59(35), 226-231.

[7] Kubascik, M., Chochul, M., Tupy, A., & Karpis, O. (2025). Non-invasive methods for diabetes critical events prediction. IFAC-PapersOnLine, 59(35), 144-149.

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