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Trial Simulator™

Prevent rejections in the late stages of drug development and maximize your chances of success.

Optimizing trial design for better outcomes

9 out of 10 drugs in development fail, costing billions annually, with late-stage failures being the most expensive due to prior investments. A key factor in these failures is sub-optimal trial design.

Certara’s Clinical Trial Simulator has been trusted for over a decade by leading pharmaceutical companies to optimize trial design and maximize the probability of success. By leveraging simulation and existing knowledge of the drug under study, Trial Simulator provides critical insights to improve study endpoints and reduce trial costs.

Clinical Trial Simulator

Streamline trial processes to improve efficiency and resource use

Optimize dosing and treatment schedules

Increase the probability of meeting study endpoints

Enhance trial design with a full suite of tools

Trial Simulator empowers researchers to design and optimize clinical trials with ease. It offers tools to create and compare study designs, access pre-built models, and conduct advanced analyses like ANOVA, bioequivalence, and Kaplan-Meier survival analysis. With features for population-based drug and disease modeling and support for various trial designs, including crossover and parallel studies, it streamlines trial planning and execution.

Generate detailed statistics
Create graphical summaries
Explore “what if” scenarios to refine strategies and ensure robust outcomes

With Trial Simulator, your data is secure

Certara holds ISO 27001 certification for Certara’s Information Security Management System (ISMS). We have implemented robust security controls, undergone rigorous risk assessments, and continuously strive for improvement. Trial Simulator ensures full compliance with global data protection standards, offering peace of mind for sensitive analysis.

Learn more in our Trust Center

Schedule a demo

Discover how Certara’s Clinical Trial Simulation Software can transform your trial design process.

Reduce trial costs and improve efficiency
Refine dosing and treatment schedules
Enhance the likelihood of achieving study endpoints