Advanced equipment for a self-driving analytical AI laboratory

At the heart of the collaboration lies a shared ambition: to redesign how analytical chemistry is conducted. By embedding Agilent’s advanced instrumentation within AI-enabled research workflows, HIMS is developing an environment in which experiments, data analysis and optimisation increasingly interact in real time.

Rather than operating as separate stages, measurement, modelling and interpretation become part of a continuous feedback loop. Experimental parameters can be adjusted dynamically, datasets are analysed as they are generated, and machine learning models help guide subsequent research decisions. The laboratory evolves from a place of manual experimentation into an adaptive, data-driven system.

This approach reflects a broader transformation in scientific research, where instrumentation, software and scientific expertise converge into integrated platforms capable of accelerating discovery.

From data to breakthroughs

HIMS conducts fundamental research in chemistry with applications ranging from sustainable materials to circular processes and novel molecular systems. The collaboration with Agilent significantly strengthens the institute’s analytical backbone. Increased precision, reproducibility and throughput allow researchers to explore complex chemical systems more efficiently, while AI integration shortens the path from hypothesis to validated insight.

By embedding intelligence directly into laboratory workflows, the partnership enables a new level of autonomy in experimentation. The long-term objective is a self-driving lab in which data continuously informs design choices, allowing researchers to focus on high-level scientific questions rather than routine optimisation.

Read the original article from te UvA-website