Autonomous materials discovery.

We build experimental robotic systems that can make polymers, measure what they do and use the results to decide what to try next. The aim is to understand the relationships between a polymer's chemistry, its processing and its eventual performance.

Making the connection

Our approach brings together continuous-flow synthesis, robotic liquid handling, in-line and at-line measurements, and data-guided experiment selection to build efficient, information-rich experimental workflows. We design each workflow around a specific scientific question and the material property we need to understand, allowing synthesis, characterisation and decision-making to be connected more closely. This helps us explore complex chemical and processing spaces systematically, while generating the data needed to uncover relationships between molecular design, processing conditions and material performance.