AI auditing system (by Vincer.AI)

Vincer AI – Artificial Intelligence auditing ecosystem in Healthcare. Vincer AI is a Spin-Off from the Research Centre for Biomedical Engineering at UPC (Barcelona)

AI auditing system (by Vincer.AI)

Vincer AI – Artificial Intelligence auditing ecosystem in Healthcare. Vincer AI is a Spin-Off from the Research Centre for Biomedical Engineering at UPC (Barcelona)
Institution: UPC
Research group: Bioinformatics and Biomedical Signals Laboratory
Principal investigator: Alexandre Perera Luna, CREB Director at UPC and CSO at Vincer AI

The Problem

Over 90% of the healthcare companies have a critical dependency on the quality of their algorithms. Hence ensuring quality on all their development life cycle is key in order to mitigate risks posed by AI. However, AI algorithms quality is poorly covered by actual regulation and there is an urgent need to develop an standardized, complete and recognized auditing toolkit in the Healthcare sector.
Vincer.ai is developing an algorithmic auditing technology that certifies the goodness of an AI-based healthcare product through a risk quantification and cryptographical certification that ensures the AI-system robustness and reliability. It is the only AI auditing framework in the Healthcare industry that ensures the AI-system robustness and reliability.

The Solution

The Solution

Vincer.ai is developing an algorithmic auditing technology that certifies the goodness of an AI-based healthcare product through a risk quantification and cryptographical certification that ensures the AI-system robustness and reliability. It is the only AI auditing framework in the Healthcare industry that ensures the AI-system robustness and reliability.

Purpose

Vincer AI offers a toolkit capable of auditing and certifying AI systems in any health related application. It is also planned to extend the toolkit to other industries once the Health application is in the market.
Time to market: 2 years
Looking for: Companies willing to audit their algorithms or anyone involved in the field and willing to collaborate
Technology: Artificial Intelligence
Area: Any Health application
TRL: 4