About AMLX
AMLX is an applied machine learning company founded by entrepreneurial students from Eindhoven University of Technology. What started as a hands-on effort to solve a real safety problem during our Master’s evolved into a broader ambition: building practical, high-impact solutions for real-world systems.
Our story
AMLX grew out of MOTEX, a startup we developed during our Master’s at Eindhoven University of Technology. As entrepreneurial students, we were driven by the idea that technology should not remain theoretical but it should solve meaningful problems in the real world.
With MOTEX, we worked on a safety challenge in mobility and explored how applied machine learning, engineering, and user-centered design could be used to address a problem with clear societal relevance. That experience taught us more than how to develop a concept or prototype. It taught us how to validate a challenge, work closely with stakeholders, iterate quickly, and stay focused on measurable impact.
Through that journey, we realized that the real opportunity was bigger than solving a single project. We saw the potential to apply the same practical, engineering-driven way of working across a broader range of challenges in industry, infrastructure, and safety. That realization became the foundation of AMLX.
Thomas van Heuvelen | Co-Founder & CEO
BSc Mechanical Engineering | MSc Industrial Design
I have always been driven by the challenge of turning technical ideas into solutions that truly work in practice. With a background in Mechanical Engineering and Industrial Design, I focus within AMLX on project direction, concept development, technical strategy, and translating complex challenges into practical and implementable systems.
What excites me most is the intersection of technology, engineering, and human use. For me, innovation is not just about what can be built, but about what should be built to create real value, fit the context, and make a measurable difference in practice.
Loukas Lampidis | Co-Founder & CTO
MSc Electrical & Computer Engineering | MSc AI & Engineering Systems
With a background in AI software engineering, I am driven by building intelligent systems that can solve real-world problems. Within AMLX, I focus on software development, applied machine learning, and translating technical opportunities into practical solutions that are robust, relevant, and ready for implementation.
What motivates me most is combining innovation with problem-solving in a way that creates tangible value. I enjoy working at the intersection of emerging technology and real-world application, where strong technical foundations need to come together with usability, adaptability, and impact in practice.