Pathology needs an AI revolution
Today, manual microscopic evaluation of tissue samples by pathologists is the gold standard for diagnosing cancer as well as many degenerative, infectious and inflammatory diseases. Given an ageing population, as well as the increase in numbers and complexity of cancer cases worldwide, a global shortage of pathologists is imminent. Moreover, manual analysis lacks the precision and ability to draw deeper conclusions from data to support the precision medicine and drug development processes of tomorrow.
Pathology needs an AI revolution
Today, manual microscopic evaluation of tissue samples by pathologists is the gold standard for diagnosing cancer as well as many degenerative, infectious and inflammatory diseases. Given an ageing population, as well as the increase in numbers and complexity of cancer cases worldwide, a global shortage of pathologists is imminent. Moreover, manual analysis lacks the precision and ability to draw deeper conclusions from data to support the precision medicine and drug development processes of tomorrow.
The first explainable
AI solution for pathology
Our “explainable” AI overcomes “black-box” limitations of conventional AI. Based on our patented technology for reverse engineering the black box, we render diagnostic results explainable in form of precise heatmaps and image overlays. These heatmaps allow pathologists to quickly verify results of the AI, which is crucial, as the pathologist is ultimately responsible for the diagnosis.
The first explainable
AI solution for pathology
Our “explainable” AI overcomes “black box” limitations of conventional AI in diagnostics. Our patented technology for reverse-engineering the black box can not only find, but also precisely visualise and quantify cancer as well as other diseases in tissue samples. The resulting image overlays enable pathologists to review results fast in clinical routine diagnostics, saving time and increasing precision. In research, it can help pick the best drug candidates and identify new biomarkers.
The first explainable
AI solution for pathology
Our “explainable” AI overcomes “black box” limitations of conventional AI in diagnostics. Our patented technology for reverse-engineering the black box can not only find, but also precisely visualise and quantify cancer as well as other diseases in tissue samples. The resulting image overlays enable pathologists to review results fast in clinical routine diagnostics, saving time and increasing precision. In research, it can help pick the best drug candidates and identify new biomarkers.

What we do

We are an interdisciplinary team of machine learners, data scientists, pathologists, software engineers and business professionals dedicated to taking explainable AI from our research lab into the world.

Get in touch!

We are looking for further partners to develop and take our approach into clinical practice.