contextflow
We help radiologists to solve difficult cases and avoid missed findings... Fast
Markus Holzer, CEO & Co-Founder
- Founder
- Markus Holzer
- Founder
- Georg Langs
- Founder
- René Donner
- Founder
- Allan Hanbury
- When we invested
- Pre Series A
- Founded
- 2016
- Partnered
- 2019
- Location
- Austria
- Area
- Deep tech
What we do
Radiology is facing serious challenges that lead to delays, missed findings and high overtime expense. Developed in close collaboration with experienced practitioners, contextflow’s unique deep learning-based backbone for 3D medical images (SEARCH, TRIAGE, DETECT, ORCHESTRATE) tackles these issues by providing case-relevant information at the point of care within seconds.
We develop scalable, deep learning-based solutions for 3D medical images that integrate directly into radiology workflows. We empower radiologists to work efficiently, improving quality and speed.
- General – Our search solution identifies many findings at once (currently 19 disease patterns in lung CTs); competitors support only 1-2
- Scalable – Our technology is built to expand to additional use cases, organs and modalities, making it more scalable than the competition
- Transparent – Reference cases ensure radiologists can see our technology working, eliminating concerns about black box AI solutions
