Vision Surgery AI

Vision Surgery AI: Leading AI in surgery, reducing risks & costs. We streamline processes, increase efficiency, ensure accessibility, & automate tasks with computer vision.

Partnerships: We have a Memorandum of Understanding signed with the leading security and clinical solutions to hospitals, Telekom Healthcare, and we are striving to be in 1,000 operating theatres services (by Deutsch Telekom Healthcare) by the end 2024. This would provide €12M+ in revenue and 1,000+ users (surgeons).

We also have a Service Level Agreement with T-Systems (leading Cloud provider in Europe)
Patents: Five applied for with 15 planned by the end of 2024. We are confident that license
Mobile App: Educational Purposes for Medical Students Beta Version available in Apple & Google

Measurable medical errors cost as much as $40 billion annually, and as much as 80% of surgical errors occur intra operatively.
They are frequently attributed to technical and decision (or poor judgment) issues that, with the right technology, could have been avoided altogether.

Vision Surgery AI solves these problems by leveraging the power of AI and Computer Vision to obtain insights of the surgery environment.
Our data-driven surgery models are based on video and audio data, which we collect to build large datasets and training AI models. This empowers healthcare professionals to better surgical anomalies in real time – and ultimately make smarter decisions.
This results in a reduction in both failures and errors in surgery, an increase in precision and efficiency, reduced costs of surgery, and improved surgical training and competency assessment.

We are pleased to announce that we have already secured commitments from interested parties. Notably, the largest telecommunications company in Germany has expressed their intention to distribute our Vision Surgery AI platform to numerous hospitals, bolstering our confidence in generating revenue this year.
SaaS / AIaaS
1. Monthly subscription fees by Operating Theatre (50% of total revenue)
2. Big Data /Trained Models provided to Insurance and Industrials (25%)
3. License Fee: To Universities, Hospitals and Hardware providers (25%)