Catalyst lowers the barrier. Apex raises the ceiling.

Materials and chemicals teams have plenty of AI ambition. What they do not have is time.

Together, Citrine's new capabilities, Apex and Catalyst, help materials and chemicals teams move from product goals to better experimental decisions, faster by lowering the barrier to using AI and improving AI's results.

In this session, we’ll show how teams can move from question to AI workflow faster, understand the drivers behind model recommendations, and evaluate next-step experiments with clear scientific rationale.

What You Will Learn

• How Apex uses the latest model architectures and pre-trained chemical embeddings to deliver more powerful models
• How Catalyst turns a product development goal into an AI workflow across data, models, search space, and candidate generation, in minutes
• How agentic workflows can reduce training burden and accelerate adoption among scientific teams
• How Apex models enable less-experienced team members to tackle more complex projects

Built for scientific decision-making, not black-box automation, Apex and Catalyst deliver insight into performance drivers and clear recommendations with defensible reasoning.