Projects

Applied machine learning projects for safety-critical contexts.

AMLX translates meaningful safety challenges into technically grounded concepts, pilots, and engineering pathways that can be tested in the real world.

Portfolio

Work that moves from challenge definition to practical system design.

MOTEX rider assistance concept demonstration
MOTEX main demonstration MOTEX team with project poster MOTEX team with awards

MOTEX

Advanced Rider Assistance System

MOTEX is a predictive rider assistance concept designed to improve urban motorcycle safety in complex traffic situations.

The system combines helmet-integrated hardware, computer vision, and real-time warning logic to help riders identify potential hazards earlier and respond more effectively.

What made the project distinctive was its focus on anticipation rather than reaction alone, exploring how technology can support earlier awareness when visibility, timing, and rider decision-making are critical.

Construction safety innovation project

Construction safety

Innovation R&D project

AMLX is currently working on a new R&D project in the construction sector, focused on practical solutions for safer operations in dynamic real-world environments.

As the project is still in development, further details remain confidential for now, but the direction reflects the same AMLX emphasis on applied machine learning, engineering feasibility, and operational usefulness.

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