See the signal.
PiEEG exposes the measurement instead of reducing biology to a hidden score. Raw channels stay available for inspection, filtering, and interpretation.
ELECTRODES → CHANNEL DATAPIEEG / ABOUTTHE OPEN INSTRUMENTMISSION / 01
Open neurotechnology
Biology should not bea black box.
PiEEG builds research-grade biosignal hardware and open software so researchers, students, and builders can see the signal, understand the route, and decide what it becomes.
OBJECT / IRONBCI-32OPEN SIGNAL ACQUISITION
INPUT32 channels
CONVERSION24-bit ADC
OUTPUT500 Hz / channel
HardwareInspectable
SoftwareOpen
PipelineVisible
PurposeResearch & education
01 / Mission
Access is built,
not promised.
Measuring EEG, EMG, ECG, and EOG should not require surrendering the signal to an opaque system. PiEEG is designed as a bridge between biology and technology for non-medical research and exploration.
Own the route.
Open software and documented interfaces keep acquisition, streaming, and processing under the builder’s control—without forcing the signal into one application.
HARDWARE → OPEN SOFTWAREChoose the outcome.
The same visible pipeline can support research, education, XR, sound, robotics, or another experiment the original instrument was never designed to predict.
INTERPRETATION → APPLICATION02 / The work
One instrument.
Four disciplines.
PiEEG was born where hardware engineering, signal processing, neuroscience, and software meet. None of those layers is treated as decoration; each one keeps the biological measurement usable by the next.
- 01Hardware engineering
MEASURE - 02Signal processing
REVEAL - 03Open software
CONNECT - 04Applied experiments
BUILD
03 / The team
Hardware and software,
built as one system.
PiEEG is led across two engineering disciplines and two locations, with the same goal: keep advanced biosignal tools accessible to the people using them.
01 / 02Founder & Lead Engineer
Ildar Rakhmatulin
PhD scientist, engineer, and entrepreneur in bioscience. Ildar works across hardware design, signal processing, machine learning, and low-cost brain-computer interfaces.
Edinburgh, Scotland, UK
Hardware designSignal processingMachine learning
02 / 02Co-Founder & Software Architect
Youssef El Abbassi
Software architect and BCI developer building the open-source software ecosystem around PiEEG. Youssef created PiEEG Server and works across real-time systems, edge AI, XR, and the web.
Gatineau, Quebec, Canada
Real-time systemsOpen sourceXR & web
04 / Open by design
Do not take our word for it.
Open the system.
Credibility is not a badge on this page. It is the ability to inspect the instrument, read the source, reproduce the path, and build something different from it.
01
Inspect the hardware
Compare PiEEG instruments and their verified channel, sampling, and computing configurations.
Hardware02Read the source
Follow the public repositories that connect acquisition hardware to software and applications.
GitHub03Learn by building
Move from connection to streaming and application work through practical PiEEG guides.
Tutorials04See the signal act
Explore browser, automation, audio, and XR applications built on the open stream.
Projects05 / Scope
A research instrument.
Not a medical promise.
PiEEG devices are not FDA- or CE-approved medical devices. They are intended for education, research, and hobby applications only. Safe use remains the user’s responsibility.
Read the liability statement06 / Continue