We integrate and deploy self-driving platforms that accelerate chemical process development, increase data quality, and reduce development costs. Our platforms leverage robotic automation to execute experiments, advanced process analytical technology to measure experimental success, and artificially intelligent control software for rapid optimization.

Key design principles include flexible automation using interoperable hardware and software modules. This approach speeds up development cycles and increases the customizability of our workflows.

Our self-driving labs address a key process development gap: they target the transition of novel chemicals, materials, or processes from discovery to large-scale commercial deployment.