The Discovery Chemistry Stage is designed for leaders across medicinal chemistry, computational chemistry, cheminformatics, AI, discovery research, and early-stage R&D within pharma, biotech, and life sciences organisations.

If you are applying AI to improve molecular discovery, optimise compound development, or scale chemistry workflows, this stage is built for you.

Discover how organisations are using AI to improve molecular design, compound prioritisation, predictive modelling, and decision-making across early-stage drug discovery.

Sessions focus on practical implementation, workflow integration, generative chemistry, multimodal data, and the operational realities of scaling AI across chemistry environments.

Most events focus on future potential.

This stage focuses on operational application — how organisations are embedding AI into chemistry workflows today to accelerate discovery, improve candidate quality, and support faster decision-making.

Less hype. More implementation.

The Discovery Chemistry Stage bridges scientific strategy with operational execution — covering workflow adoption, AI deployment, infrastructure, computational capability, and the practical realities of integrating AI into chemistry and discovery environments.

Yes.

Expect a mix of talks, deployment stories, and demonstrations from organisations already applying AI across molecular discovery and chemistry workflows.

Sessions will focus on measurable impact, implementation lessons, workflow integration, and the practical realities of scaling AI across discovery chemistry.