Revolutionizing
Drug Discovery and Toxicology Studies
Harnessing AI to unlock new potentials in developmental biology and pharmacology
EmbryoNet AI Technologies
-BMP
+RA
-Wnt
Revolutionizing
Drug Discovery and Toxicology Studies
Harnessing AI to unlock new potentials in developmental biology and pharmacology
EmbryoNet AI Technologies
-BMP
Technology
EmbryoNet AI Technologies leverages state-of-the-art deep learning to offer unparalleled services in toxicology studies and drug screening in organoids and embryos. Our customized AI solutions are designed to meet the unique needs of our clients, providing rapid, accurate, and comprehensive insights into the effects of compounds on biological development.

Our flagship software EmbryoNet has successfully identified novel compounds and elucidated their mechanisms, contributing valuable insights into therapeutic development. Its precise classification capabilities have also opened new pathways in genetic research, offering solutions to long-standing questions in developmental biology. By facilitating a deeper understanding of developmental processes, EmbryoNet holds the promise for groundbreaking advancements in medicine and biotechnology.
EmbryoNet AI Technologies leverages state-of-the-art deep learning to offer unparalleled services in toxicology studies and drug screening in organoids and embryos. Our customized AI solutions are designed to meet the unique needs of our clients, providing rapid, accurate, and comprehensive insights into the effects of compounds on biological development.

Our flagship software EmbryoNet has successfully identified novel compounds and elucidated their mechanisms, contributing valuable insights into therapeutic development. Its precise classification capabilities have also opened new pathways in genetic research, offering solutions to long-standing questions in developmental biology. By facilitating a deeper understanding of developmental processes, EmbryoNet holds the promise for groundbreaking advancements in medicine and biotechnology.
Technology
Deep learning
is a type of machine learning that uses neural networks with many layers to automatically learn and extract complex patterns from large amounts of data, enabling advanced tasks like image recognition, language processing, and more.
Organoids
are miniature, simplified versions of organs grown in vitro from stem cells, used for studying organ development, disease modeling, and drug testing.
Embryos
are early stages of development in multicellular organisms, formed after fertilization and before becoming a fetus, where the basic structures and organs begin to develop.
Customized AI
refers to artificial intelligence systems specifically tailored to meet unique needs and requirements of a particular user or organization, enhancing performance and relevance for specific tasks or applications.
Small-molecule compounds
are low molecular weight organic chemicals that can easily enter cells, often used as drugs to modulate biological processes and treat diseases.
Automated Phenotypic Analysis
Utilize our AI-driven platform, EmbryoNet, to analyze and classify embryonic and organoid phenotypes with unmatched accuracy and speed. This service enables detailed understanding
of genetic and environmental impacts on development, facilitating groundbreaking discoveries in biology and medicine.
Cross-Species Analysis
We offer services for
a variety of species to ensure that our clients can receive relevant insights regardless of their model organism.
Custom AI Model Development
For clients with specific research needs, we develop tailor-made AI models. Our team works closely
with you to understand your objectives and create
a solution that seamlessly integrates with your workflows, enhancing your research capabilities.
High-Throughput Drug Screening
Our technology excels in identifying the developmental impacts of pharmaceutical substances. By automating the drug screening process, we significantly reduce the time and cost associated with traditional methods, allowing for the efficient discovery of novel therapeutics and the elucidation of their mechanisms of action.
Toxicology Assessments
EmbryoNet provides detailed toxicological profiles of compounds, leveraging deep learning to predict adverse effects with high reliability. This service supports safer drug development and chemical use by identifying potential teratogenic risks early in the product lifecycle.
Services
We offer screening services with zebrafish embryos and larvae for your compounds at the concentrations of your choice.
-BMP
MEDAKA
Describe your research specifics
Untreated
Lovastatin
DRAQ7
pErk
At EmbryoNet AI Technologies, we are committed to advancing the field of life sciences through the power of AI. Contact us today to learn how our services can transform your research and development endeavors.
Automated Phenotypic Analysis
Utilize our AI-driven platform, EmbryoNet, to analyze and classify embryonic and organoid phenotypes with unmatched accuracy and speed. This service enables detailed understanding of genetic and environmental impacts on development, facilitating groundbreaking discoveries in biology and medicine.
Cross-Species Analysis
We offer services for a variety of species to ensure that our clients can receive relevant insights regardless of their model organism.
Custom AI Model Development
For clients with specific research needs, we develop tailor-made AI models. Our team works closely with you to understand your objectives and create a solution that seamlessly integrates with your workflows, enhancing your research capabilities.
High-Throughput Drug Screening
Our technology excels in identifying the developmental impacts of pharmaceutical substances. By automating the drug screening process, we significantly reduce the time and cost associated with traditional methods, allowing for the efficient discovery of novel therapeutics and the elucidation of their mechanisms of action.
Toxicology Assessments
EmbryoNet provides detailed toxicological profiles of compounds, leveraging deep learning to predict adverse effects with high reliability. This service supports safer drug development and chemical use by identifying potential teratogenic risks early in the product lifecycle.
Services
We offer screening services with zebrafish embryos and larvae for your compounds at the concentrations of your choice.
-BMP
MEDAKA
Describe your research specifics
Untreated
Lovastatin
DRAQ7
pErk
At EmbryoNet AI Technologies, we are committed to advancing the field of life sciences through the power of AI. Contact us today to learn how our services can transform your research and development endeavors.
The original description of the technology underlying EmbryoNet
Čapek D, Safroshkin M, Morales-Navarrete H, Toulany N, Arutyunuv G, Kurzbach A, Bihler J, Hagauer J, Kick S, Jones F, Jordan B, Müller P (2023). EmbryoNet: Using deep learning to link embryonic phenotypes to signaling pathways. Nature Methods, 20:815–823.
Publications
Read more
Read more
Extension of AI technologies for developmental trajectories
Toulany N, Morales-Navarrete H, Čapek D, Grathwohl J, Ünalan M, Müller P (2023). Uncovering developmental time and tempo using deep learning. Nature Methods, 20:2000-2010.
Read more
Read more
AI identifies developmental defects and drug mechanisms in embryos
Müller P et al. (2023). AI identifies developmental defects and drug mechanisms in embryos. Nature Methods, 20:793–794.
Read more
Read more
EmbryoNet is part of the Nature Methods of the Year 2023 feature
In vitro embryo models supported by methods development in adjacent fields have revolutionized our understanding of embryogenesis.
Read more
Read more
Publications
The original description of the technology underlying EmbryoNet
Čapek D, Safroshkin M, Morales-Navarrete H, Toulany N, Arutyunuv G, Kurzbach A, Bihler J, Hagauer J, Kick S, Jones F, Jordan B, Müller P (2023). EmbryoNet: Using deep learning to link embryonic phenotypes to signaling pathways. Nature Methods, 20:815–823.
Read more
Extension of AI technologies for developmental trajectories
Toulany N, Morales-Navarrete H, Čapek D, Grathwohl J, Ünalan M, Müller P (2023). Uncovering developmental time and tempo using deep learning. Nature Methods, 20:2000-2010.
Read more
AI identifies developmental defects and drug mechanisms in embryos
Müller P et al. (2023). AI identifies developmental defects and drug mechanisms in embryos. Nature Methods, 20:793–794.
Read more
EmbryoNet is part of the Nature Methods of the Year 2023 feature
In vitro embryo models supported by methods development in adjacent fields have revolutionized our understanding of embryogenesis.
Read more
About us
Why choose EmbryoNet AI Technologies?
  • Innovative Technology
    At the forefront of AI and biological research, our solutions offer a new dimension of insight into developmental biology.
  • Accuracy and Speed
    Our deep learning models provide rapid and precise analysis, significantly outperforming traditional methods.
  • Customized Solutions
    We understand that each research project is unique. Our customized approach ensures that our services meet your specific needs.
  • Expert Support
    Our team of experts in AI, biology, and pharmacology is dedicated to supporting your projects from inception to completion.
Why choose EmbryoNet AI Technologies?
About us
Innovative Technology
At the forefront of AI and biological research, our solutions offer a new dimension of insight into developmental biology.
Accuracy and Speed
Our deep learning models provide rapid and precise analysis, significantly outperforming traditional methods.
Customized Solutions
We understand that each research project is unique. Our customized approach ensures that our services meet your specific needs.
Expert Support
Our team of experts in AI, biology, and pharmacology is dedicated to supporting your projects from inception to completion.
Contact
Contact the EmbryoNet AI Technologies Team.

Feel free to contact us for a quote. We can can help you develop AI solutions tailored to your problem. Together, we can unlock new potentials in developmental biology and pharmacology.

We are located in Germany and have dependencies in Konstanz, Tübingen and Freiburg.
Matvey Safroshkin
EmbryoNet AI Technologies
matvey.safroshkin@gmail.com
+49(0)1525 8731037

Patrick Müller
EmbryoNet AI Technologies
patrick.mueller@uni-konstanz.de
+49(0)7531 885544
Contact the EmbryoNet AI Technologies Team.

Feel free to contact us for a quote. We can can help you develop AI solutions tailored to your problem. Together, we can unlock new potentials in developmental biology and pharmacology.

We are located in Germany and have dependencies in Konstanz, Tübingen and Freiburg.
Contact
Matvey Safroshkin
EmbryoNet AI Technologies
matvey.safroshkin@gmail.com
+49(0)1525 8731037
Patrick Müller
EmbryoNet AI Technologies
patrick.mueller@uni-konstanz.de
+49(0)7531 885544