TTT-AI is committed to accelerating the development and adoption of cutting-edge AI technologies.

As part of this mission, TTT-AI provides vouchers to support promising projects that have the potential to make significant impacts in various industries. These vouchers offer crucial funding and resources to help innovators bring their AI solutions from concept to reality. Recently, TTT-AI has announced to enter a new 5-year phase in which we want to continue to empower innovative AI solutions. Below, we highlight the first of some very exciting new projects that have recently received TTT-AI vouchers and are poised to transform their respective fields. 

i-Botics Avatars: Enhancing Reliability in AI Robotics 

i-Botics Avatars, a project from TNO, aims to create robots that can work on their own but also allow humans to control them remotely when needed. This will make robots more reliable and useful in industries. With the TTT-AI voucher, i-Botics Avatars will test their technology and develop a plan to bring it to market, improving efficiency and productivity. 

Contact person: Maarten de Boo. 

Competent Robotics: Making AI Competence Measurable 

Competent Robotics, an innovation program by TNO, enables developers of AI-based machines to precisely describe and measure the functionality of their AI systems. To make this technology globally available, TNO will use the TTT-AI voucher to transform their concept software into an easy-to-use product. This will make AI competence measurable and accessible, driving forward the capabilities of AI-based machines in various industries. 

Contact person: Maarten de Boo. 

MSKAssist: Revolutionizing Radiology with AI 

MSKAssist, from Radboud UMC, is a smart assistant designed to help radiologists analyze hand and wrist X-rays more effectively. Unlike most AI tools, MSKAssist provides a complete picture by checking for fractures, measuring joint wear, and screening for rare bone tumors. The TTT-AI voucher will help turn this research into a real-world product by connecting the software to hospital systems, training the AI with more expert examples, and securing safety approvals. This will improve the accuracy and efficiency of radiological diagnoses, benefiting both clinicians and patients. 

Contact person: Dolf Wittkämper.