About PiEEG

PiEEG is an initiative that makes brain-computer interface (BCI) technology accessible to researchers, students, and makers worldwide. PiEEG provides access to neurobiology through research-grade biosignal hardware compatible with a wide range of electrodes for EEG, EMG, ECG, and EOG — allowing the study and application of neural and biosignal data in real-world conditions.

If you can run a Python script, you can explore the human nervous system.

What Is PiEEG?

PiEEG is a family of EEG shields and boards that turn a Raspberry Pi, Jetson Nano, Arduino, or standalone USB host into a multi-channel brain-computer interface. The companion PiEEG Server software acquires, streams, records, and exposes real-time EEG data over WebSocket, Lab Streaming Layer (LSL), OSC, and webhooks — with a built-in browser dashboard out of the box.

The project spans hardware (from 8 to 32 channels), MIT-licensed software and SDKs, and a global open-source community.

Hardware Overview Software Team Community & Open Source Support & Contact FAQ

Our Mission

For years, the PiEEG team has been dedicated to breaking down the barriers of neuroscience. We believe that measuring the human body's signals — whether from the brain (EEG), muscles (EMG), or eyes (EOG) — should not be restricted to high-cost equipment.

Our mission is to make PiEEG the universal bridge between biology and technology for research purposes. Designed for simplicity and compatible with a vast range of electrodes, PiEEG hardware lets you go from unboxing to data-tracking in minutes.

Our Story

PiEEG is a project born from a shared interest in hardware engineering, signal processing, and neuroscience. The team consists of researchers and engineers who believe that the tools for exploring biosignals should be accessible to everyone.

The project was launched on Crowd Supply, where it raised five times its initial funding goal. Over the years, the team has contributed to the field by publishing findings on Brain-Computer Interfaces (BCIs) and developing open-source software tools. The goal is not just to build devices, but to provide a transparent platform where others can experiment with neural interfaces.

By combining experience in hardware design with machine learning, the team works to ensure PiEEG remains a reliable, entry-level tool for non-medical research and exploration.

Core Values

Open & Transparent — Software and SDKs are MIT licensed and fully public. There is no vendor lock-in. The GitHub repositories are the source of truth for every line of software.
Community-Driven — Built by neuroscientists, for neuroscientists. The roadmap is shaped by real user needs.
Innovation First — Pushing the boundaries of what is possible with accessible hardware, from 32-channel EEG to edge AI integration.
Quality Matters — Low cost does not mean low quality. PiEEG uses quality components, rigorous testing, and peer-reviewed validation to deliver research-grade results.

By the Numbers

Metric	Value
Peer-reviewed science papers (citations)	11+
Media features (podcasts & outlets)	28+
GitHub stars (across all repositories)	1800+ (approx. 2.5K across the org)
Open-source repositories	17
Hardware platforms	7 (from 8 to 32 channels)
Community members (Discord & social)	1000+
Software license	MIT (SDKs and PiEEG Server)

Global Presence

Headquarters — Edinburgh, Scotland, UK. Founded and led by Ildar Rakhmatulin, PhD.
China Representative — Official Chinese distribution and support at pieeg.cn (opens in a new tab).
Hardware Manufacturing — Sold and shipped through Elecrow (opens in a new tab).

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NOT A MEDICAL DEVICE. PiEEG devices are not FDA/CE approved medical devices. They are intended for education, research, and hobby applications only. You are fully responsible for safe use. See the Liabilities and Safety pages before purchase or use.