SMART Optimizer: AI-Enabled Clinical Trial Optimization

About this datasheet

SMART Optimizer: AI-Enabled Clinical Trial Optimization

Make more informed clinical trial decisions with causal intelligence.

SMART Optimizer uses Causal AI to identify cause-and-effect relationships across clinical trial data, uncover root causes, simulate intervention scenarios, and recommend the Next Best Action to improve trial outcomes.

Key takeaways

What you'll discover

• How Causal AI goes beyond correlation to uncover drivers of clinical and operational outcomes
• How what-if and counterfactual analysis can support intervention planning
• How real-time monitoring helps identify anomalies, protocol issues, and safety concerns
• How SMART Optimizer supports Clinical Operations, Data Management, Biostatistics, and Safety workflows

Turn Clinical Trial Signals Into Better Decisions

See how SMART Optimizer combines causal discovery, intelligent intervention modeling, and multimodal clinical data analysis to help teams understand not only what is happening, but why—and what action to consider next.