How agentic AI is changing R&D from idea to molecule

What if finding your next breakthrough material — and mapping a viable synthetic route — could take just a fraction of the time it does today?

Discovering novel molecules for performance materials like OLEDs is a resource-intensive challenge. Even promising candidates often get slowed down by complex synthesis challenges, delaying innovation and increasing risk.

At the core of this challenge lies data. When fragmented, heterogeneous and underleveraged, it limits how fast teams can move from insight to synthesis.

In this webinar, we’ll explore how integrating high-quality chemical and materials datasets with emerging agentic AI systems creates a stronger foundation for discovery and empowers teams to:

• Identify promising molecular candidates
• Assess synthetic feasibility
• Iteratively refine pathways with confidence

Rather than simply accelerating screening, this approach connects data, reasoning and design across the full workflow, from molecular insight to practical synthesis.

Join us to learn how robust data ecosystems and augmented intelligence are reshaping materials innovation and driving measurable gains in speed, efficiency and competitive advantage.