Bio-tec from Europe

Technology modeled on life.

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.

More on Biology & AI →
Eye
120 million → 1 millionlight-sensing cells, but only about one million nerve fibers

What evolution developed

Selection already happens in the retina. Nerve cells emphasize edges, contrast and motion, and only what matters is passed on to the brain.

What we translate into technology

Event-based perception: a measuring point reports only when something changes. This saves data, time and energy.

To the eye experiment →
Nerves
Impulsesinstead of constant signals

What evolution developed

Nerves pass on information as short electrical impulses. What matters is the timing and frequency of the impulses, not a constant level.

What we translate into technology

Signal paths that pass stimuli on as individual events and so enable reactions in real time.

More on Tissue & Sensing →
Skin
Largest organand at the same time our largest sense organ

What evolution developed

Skin consists of several layers. It holds receptors for pressure, touch and temperature, and the whole stays soft and stretchable.

What we translate into technology

A soft, multi-layered sensing tissue that detects touch and processes the signals right where they arise.

More on Tissue & Sensing →
Muscle
Many small unitsinstead of one large motor

What evolution developed

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.

More on Biomechanics →
Tendons & joints
Springsinstead of hard braking

What evolution developed

Tendons are elastic. They store energy, cushion impacts and pass force on gently. This protects the frame and saves energy.

What we translate into technology

Elastic coupling between drive and structure. Movements become soft, and impacts do not go straight into the mechanics.

More on Biomechanics →

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.

Why biology

The biggest limit of technology is not computing power.

It is the missing understanding of how living beings manage to sense their surroundings and move within them. That is exactly where we start.

Technology today

  • Perception through many individual sensors and costly computation
  • Movement through rigid drives
  • Adaptation through fixed programs
  • Learning separate from the body

Biology as a model

  • Perception that concentrates on change
  • Movement through elastic, quiet, finely dosed muscles
  • Adaptation through the interplay of body and control
  • Learning from experience

Our fields

Five topics we work on. Pick one.

Derived from humans

What evolution has given us.

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:

BiologyBiomechanicsNeuroscienceEngineeringArtificial intelligence

One team

Three perspectives. One shared question.

A living being works because many things interact. That is why our disciplines sit at one table, not in separate offices.

Biology

How does a living being perceive the world?

It looks at how tissue is built and how living beings adapt.

Biomechanics

How does movement arise?

It studies how muscles and tendons produce force and cushion impacts.

Neuroscience

How does a stimulus become a response?

It researches how signals arise, are passed on and are interpreted.

Only when all three sit at the table does something emerge that really works.

Focus areas

Three fields in detail.

Biology & AI

Seeing like a living being.

Bioinspired perception detects depth and change in real time and combines single measurements into a whole picture.

  • Deriving depth from two viewpoints
  • Processing only changes: less data, faster reaction
  • Understanding context as the basis for learning

Tissue & Sensing

Surfaces that feel.

Modeled on skin, multi-layered surfaces emerge that detect touch and pressure, layer by layer as in the original.

  • The surface takes up touch and pressure
  • The signal layer gathers and passes on stimuli
  • The carrier layer gives support and connects the system

Biomechanics

Movement modeled on the muscle fiber.

Muscles are quiet, elastic and finely dosed. We transfer these properties into technical drives.

  • Fiber: the smallest unit of force
  • Bundle: force and fine gradation at once
  • Interplay with perception and control

Research

Two decades of research. Now implementation begins.

20years of research as our foundation
30+scientists in biology, biomechanics and neuroscience
2026independent tests at leading universities
3locations in Europe

Our path

Foundations

Two decades of research

Understanding perception, tissue and movement in living beings.

Build-up

Interdisciplinary team

More than 30 scientists in biology, biomechanics and neuroscience.

2026

Independent tests

Validation at leading universities.

Next

Implementation

The results are carried over into applications.

Our vision

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
Prague Berlin Oldenburg

Questions

Frequently asked questions.

What does Eyroq do?

Eyroq is a bio-tec company. We research functional principles of living beings and translate them into sensing, drives and AI.

What does “bioinspired” mean?

We understand how nature solves something, for example perception, touch or movement, and rebuild the principle technically.

How are the results validated?

We check internally, and in 2026 the results will be tested independently at leading universities.

Who works on these topics?

More than 30 scientists in biology, biomechanics and neuroscience work together with engineers and AI specialists.

Where is Eyroq based?

At three locations in Europe: Berlin (research), Prague (development) and Oldenburg (process optimization).

How do I get in touch?

Write to us by email at info@eyroq.com. A short description of what it is about is enough.

Let’s talk together.

Tell us briefly what it is about. We will get back to you.