Discover the power of insect behaviour

The innovative solution for testing pesticides, chemicals, and other factors

Our behaviour testing platform

At qubeto, we combine automated data acquisition with innovative experimental design and AI-driven data analysis to revolutionise today's substance screening process with the goal to create better products for a sustainable future.

Innovative

  • highly sensitive testing platform

  • custom-tailored behaviour experiments

  • quantify every parameter & behaviour

Sustainable

  • develop sustainable products

  • quantify & analyse non-lethal effects

  • be compliant with 3R principles

Efficient

  • get better and faster results

  • identify novel mode-of-actions

  • reduce time, labour & costs

Our effort - your benefit

We invested more than 10 years of research and development to establish the first imaging technology specifically designed for insects and other small animals.

  • patent-pending imaging technology

  • noise-free and contrast-rich videos

  • 30+ quantifiable features per animal

  • automated locomotion analysis of multiple animals

Feature Overview
Published in our work 2014

Our experience - your choice

We are deeply rooted in the scientific community and know that complex problems require innovative solutions. We offer pre-established experiments to get you started and are happy to customise any design once necessary:

  • Choose from a diverse set of organisms

    We focus on D. melanogaster, but we can analyse a range of terrestrial and aquatic invertebrate model organisms.

  • Choose from a diverse set of experiments

    With diverse experimental designs, from free moving to heat-gradient, we can induce a spectrum of behaviour phenotypes.

  • Choose from a diverse set of organisms

    We focus on D. melanogaster, but we can analyse a range of terrestrial and aquatic invertebrate model organisms.

  • Choose from a diverse set of experiments

    With diverse experimental designs, from free moving to heat-gradient, we can induce a spectrum of behaviour phenotypes.

Feature Overview

Our expertise - your answer

We are an interdisciplinary team of experienced biologists and computer scientists who colaborate to destill Big Data into unparalleled results using AI-driven data analysis to characterise locomotion of small animals in response to environmental stimuli, e.g. test for insecticide action.

11

primary features

30+

derived features

6,6k+

features per minute per animal

1.9Mio+

behavioural features per experiment

1

AI-based readout

Start working with us

Pilot project

  • Preferential price

  • Choose from a selection of pre-established experiments

  • Limited number of substances and concentrations

  • Clearly defined goals and follow-up evaluations

Let's get started

Full project

  • Customisable features & experiments

  • Unlimited number of substances and concentrations

  • AI-powered prediction & classification

  • Build a steadily growing database

Contact us for a free consultation

Our team

Our interdisciplinary team has worked on computer-vision based analysis of insect behaviour since 2012. Big Data, Machine Learning and Artificial Intelligence are not just buzz words for us but the core tools we use on a daily basis. We are excited about new challenges and are always happy to support, consult and innovate.

Dr. Matthias Kiel
Dr. Matthias Kiel

Matthias is a biologist by training and gained his PhD in bioinformatics. In addition, he studied entrepreneurial management, is a co-founder of qubeto and enjoys leading interdisciplinary teams at the interface of computer science and biology.

Dr. Till Matzat
Dr. Till Matzat

Till has a PhD in Biology and more than 12 years of experience in the life sciences sector. Previously he was part of a successful biotech startup in Canada. He has a passion for interdisciplinary projects and combines scientific expertise with business practice.

Dr. Dimitri Berh
Dr. Dimitri Berh

Dimitri is an enthusiastic programmer and has mastered the application of Computer Vision and Machine Learning algorithms for more than ten years. He is a co-founder of qubeto and shaped the project from the start.

Julian Bigge
Julian Bigge

Julian has years of expertise in Artificial Intelligence and Computer Vision algorithms. He uses his passion for implementing large software projects and neuronal networks to solve complex biological questions.

Jenny Märzhäuser
Jenny Märzhäuser

Jenny holds a M.Sc. in Biosciences and is fascinated by insects since her childhood. She has many years of hands on experience and is specialised in Entomology and Evolution.

Advisory Board

Prof. Dr. Christian Klämbt
Prof. Dr. Christian Klämbt

Christian is professor for Neurobiology at the University of Münster. He has more than 35 years of experience and a large body of publications in highly renowned journals. In the last decades, Christian successfully initiated several molecular biology research initiatives and currently heads a large collaborative research consortium (CRC 1348). Since 12 years, Christian has been working on insect behavior and co-founding qubeto was the logical step after discovering the power of insect behavior for industrial applications.

Prof. Dr. Benjamin Risse
Prof. Dr. Benjamin Risse

Benjamin is professor for Computer Vision and Machine Learning at the University of Münster. He has more than 12 years of research experience in insect-behaviour, has published in highly regarded journals and has filed several patents for quantitative insect analyses. He is one of the founders of the INCUB.AI.TOR Start-Up initiative at the REACH in Münster. In collaboration with Christian Klämbt he established the first prototype of qubeto's imaging platform more than 10 years ago and is one of qubeto's co-founders.

Luis Garcia Rodriguez
Luis Garcia Rodriguez

Luis has a master in aerospace engineering and is a serial entrepreneur who founded successful companies in Spain and the UK with a focus on transforming academic research into industrial products. He continues this work as the head of the workshop of the Biology department at the University of Münster. He is also a co-founder of qubeto and powers the development of new hardware prototypes with his extensive business and technical expertise.

Contact

Customers & Partner

Our history

The qubeto GmbH emerged from the QuBe project, which was funded by the European Regional Development Fund (ERDF).

The QuBe project was also funded by the Federal Ministry for Economic Affairs and Energy and the European Social Fund as part of the EXIST program.