We aspire to make trauma surgeries safer for patients and surgeons alike
Artificial Intelligence Assisted Surgery for unrivaled simplicity in the OR
Our technology fuses data-driven deep learning, statistical model-based approaches, and non-convex optimization
Artificial Intelligence Assisted Surgery
We develop revolutionary AI-based technologies aimed at making trauma surgeries safer for patients and surgeons alike.
addressing current clinical needsOur technology addresses current needs in trauma surgery, such as fracture reduction and all aspects of intramedullary nailing procedures, starting from entry point determination to freehand distal locking.
with unrivaled simplicityOur aspiration is to provide solutions that allow for unrivaled simplicity in all aspects: components, setup, and use in the OR.
based on cutting edge technologyOur approach is a cutting-edge fusion of state-of-the-art deep learning techniques with model-based statistical methods, powered by the latest advances in non-convex optimization.
We challenge perceived wisdom in computer assisted surgery
Computer assisted surgery (CAS) systems always involve additional hardware and procedural steps, in many cases pre-OP imaging. CAS systems prolong surgical procedures. Hence, CAS systems are just not suitable for trauma surgery, where simplicity and speed are of the essence. Everybody knows that.
Really? We beg to differ.
In collaboration with selected leading surgeons and hospitals, we are showing the world what Artificial Intelligence Assisted Surgery is capable of.
Times are changing.
While our system for freehand distal locking has a CE marking, our technology is not yet available for general sale.
- Prof. Peter Schreier, Ph.D. Chief Executive OfficerPeter holds a Ph.D. in electrical engineering from the University of Colorado at Boulder, USA. He has more than 20 years of research experience in data science, statistical signal processing, and machine learning, which has led to more than 110 peer-reviewed research papers. Peter has a concurrent appointment as Professor of EE&IT at Paderborn University.
- Dipl.-Ing. Arno Blau Chief Technology OfficerArno is a graduate in electrical engineering from Technical University of Munich, Germany. He has more than 15 years of R&D and management experience developing Computer-Assisted-Surgery systems, including at industry leaders Brainlab and Stryker. Arno is an inventor of more than 30 pending patent applications and granted patents.
- Dr. med. Jürgen Schmidt Chief Medical OfficerJürgen completed his medical education at Ludwig-Maximilians-University in Munich, Germany. He has extensive experience as a senior trauma surgeon, emergency physician, and team leader at Augsburg University Hospital, one of the largest Level I trauma centers in Germany. Jürgen has always had a passion for innovation in the OR.
Join our team
Revolutionize trauma surgery together with us!
Do you enjoy working for a dynamic startup in an environment that values creativity, curiosity, and critical thinking? We are looking for future team members to expand both our machine learning/algorithms and our software development teams.
Candidates should have a completed degree in computer science, computer engineering, electrical engineering, or comparable. You should have project experience in software development with Python, including object-oriented programming and multiprocessing, and be familiar with technologies such as Git, pytest, and shell.
For the ML/algorithms team, we are looking for team members with proficiency in machine learning (in particular, deep learning) and image processing, ideally complemented by expertise in mathematical optimization.
For the software development team, experience with Cython or C++ and a web-based GUI framework (such as Angular) is advantageous. Experience with augmented or mixed reality systems is also helpful.
If that sounds like you and you’d like to apply or just find out more, please contact us at firstname.lastname@example.org
We are an equal opportunity employer and embrace diversity in all of its forms. We are looking forward to hearing from you!
VISIT OR WRITE TO US
Unicampus Paderborn (EIM-E)
Warburger Str. 100
33098 Paderborn, Germany
+49 5251 2971680