Aidence provides radiologists with a software platform that automatically detects and classifies various disorders on multiple imaging modalities. It does so by using Deep Learning to learn computers to read medical images and automatically provide structured reports.



Aidence is improving healthcare using Computer-Aided Diagnostics, with a first application in lung cancer. Aidence’s software enables faster, cheaper, and more accurate diagnoses of X-ray, MRI and CT images. The key enabling technology is Deep Learning, a revolutionary type of Artificial Intelligence that is capable of analysing medical images with human-level accuracy. The interpretation of medical images is currently a manual process performed by highly trained radiologists and specialists. Aidence introduces software that will reduce misdiagnosis, improve efficiency, and help to combat the shortage of radiologists, an increasing problem in many countries.


The Deep Learning technology that Aidence uses is not limited to one type of application and Aidence is currently performing research on additional pathologies on chest CT as well as MR imaging of joints and the brain. Future applications are expected in triage and workflow optimisation, screening programs and routine clinical practice.


henQ invested in Aidence because it believes that the team at Aidence has developed a solution with the potential to revolutionise the medical imaging market. The benefits in using Deep Learning to improve processes for healthcare professionals, and ultimately achieving better outcomes for patients, are crystal clear. We are impressed with what Mark-Jan and his team have built, and are excited to partner with them to build the diagnostics products of the future.




Are you building the next winner in B2B software?   Reach out!



Investment date


HQ Location

Amsterdam, The Netherlands


Medical image analysis