Experiment Automation

The "Experiment Automation" section features AI tools and systems designed to automate the planning, execution, and analysis of results for scientific experiments. Here you will find solutions for automated experimental design (Design of Experiments - DoE), controlling laboratory equipment, real-time data acquisition and processing, identifying optimal experimental conditions, and analyzing complex outcomes. These tools utilize machine learning, robotics, and advanced control algorithms to accelerate the research process, increase experimental accuracy, reduce human error, and enable conducting experiments at scales previously unattainable. Indispensable in chemistry, biology, materials science, pharmaceuticals, and other fields where experimentation is a key method for gaining knowledge.