Eyroq studies how living beings perceive, feel and move, and builds sensing, drives and AI from it. At the center are the people who do the research behind it.
30+scientists in biology, biomechanics and neuroscience
20years of research as our foundation
2026independent tests at leading universities
3locations in Europe
Overview
What is Eyroq?
Eyroq is a bio-tec company. We translate functional principles from biology into technology: into sensors, drives and learning software. We do three things for this.
Investigate
We study how living beings perceive, feel, move and learn, at the level of cells, tissues and behavior.
Develop
From these principles come multi-layered sensing, drives modeled on the muscle fiber, and AI methods.
Verify
Internal review and independent tests at leading universities back up our results.
The body as a model
Click through the body. See what we derive from it.
Evolution has shaped every part of the body over millions of years. Pick a point and find out what humans received and how we translate it into technology.
Brain
≈ 20 Wpower, about the same as a small light bulb
What evolution developed
Around 86 billion nerve cells work at the same time. They distribute their energy wisely and become active mainly when it is needed.
What we translate into technology
Processing that evaluates many signals in parallel with little energy. Embodied AI that learns from experience.
A muscle consists of thousands of fibers. Depending on need, more or fewer of them work together, so force is graded finely. It happens quietly and elastically.
What we translate into technology
Muscle-inspired drives made of many small units that work softly and can be dosed finely.
Simplified illustration. Figures are rounded reference values from the scientific literature.
People first
Behind every technology are people.
Eyroq began two decades ago with curiosity. Today more than 30 scientists in biology, biomechanics and neuroscience work on shared questions. We owe it to them that we stand where we stand today.
CuriosityWe want to understand how life works before we build anything.
CareWe let ourselves be examined, also from outside and independently.
ResponsibilityTechnology should serve people, not the other way round.
Over millions of years evolution has produced solutions that technology still has to measure itself against. We look closely at what humans received and ask how it can be translated into technology.
Filteralready in the retina
What evolution developed
The eye does not pass on every particle of light. Already in the retina, nerve cells respond to edges, contrast and motion. Only what might matter reaches the brain.
What we translate into technology
Perception that concentrates on change, instead of collecting huge amounts of data and sorting them out later.
≈ 20 Wpower of the human brain
What evolution developed
The brain achieves an enormous amount and needs about as much energy as a small light bulb. It distributes its power wisely instead of using the same amount everywhere.
What we translate into technology
Processing that gets by with little energy, modeled on nerve cells that only become active when needed.
Robustinstead of perfect
What evolution developed
The eye has blind spots and blurs. The brain fills in what is missing and keeps perception stable. Robustness beats perfection when survival is at stake.
What we translate into technology
Systems that withstand disturbance and uncertainty instead of failing because of a small thing.
≈ 86 bnnerve cells working at the same time
What evolution developed
The brain does not work step by step. Countless nerve cells process signals at the same time. Contrast, motion and meaning arise in the same moment.
What we translate into technology
Parallel processing instead of one long chain of single computing steps. This makes reactions in real time possible.
Contextinstead of mass data
What evolution developed
People learn from experience and in context. A few examples are enough because we understand what they mean and how body and surroundings fit together.
What we translate into technology
Embodied AI that learns from experience and understands connections, instead of just evaluating large amounts of data.
Simplified illustration. Figures are rounded reference values from the scientific literature.
Biology & AI
Four principles of life.
Pick a principle and see how we translate it into technology.
Perception
Detecting depth in real time and understanding the surroundings in context, just as living beings do.
Adaptation
Systems that adjust to changing conditions instead of rigidly following a plan.
Learning
Embodied AI that does not just calculate but learns from experience and keeps developing.
Reaction
Decisions in real time, even under uncertainty. Every reaction is based on perception.
Approach
From observation to technology.
01
Observe
We study how living beings perceive, adapt and learn.
02
Understand
Biologists and engineers translate observations into testable models.
03
Translate
From the models come components and algorithms.
04
Verify
Results are checked internally and tested independently.
Interdisciplinary
Questions of biology and engineering are asked together from the start. Specialists from these fields work together for this:
Technology that learns from life and serves people.
We believe the best solutions arise where you look closely: at life itself. Our task is to translate this knowledge into technology carefully, verifiably and responsibly. At the center are always people: those who do the research and those we do it for.
OpenOur results are tested independently at leading universities in 2026.
ThoroughBuilt on two decades of research, not on promises.
TogetherThree locations in Europe, one team learning from each other.
Locations
Built in Europe.
Three locations, one network: research in Berlin, development in Prague, process optimization in Oldenburg. Pick a place.
Development
Prague
In Prague, research results are developed further into deployable components. This is where technical development comes together.
Developing research results further into components
Development of sensing, drives and software
Transition from research to application
Research
Berlin
Berlin is our research location. Here biologists, biomechanics experts and neuroscientists work on understanding how living beings perceive, feel and move.
Basic research on perception, tissue and movement
Biological models that can be verified
Collaboration with engineers and AI specialists
Process optimization
Oldenburg
In Oldenburg we optimize the processes that turn developments into reliable components: from manufacturing to quality assurance.
Designing workflows to be efficient and reproducible
Securing quality and reliability
Preparing procedures for the path to series production