Site Selection
Site Activation
Randomisation
Proven Results
Predicting Clinical Trials is Challenging
Unpredictable timelines
Site activation and patient recruitment are notoriously difficult to predict. Uncertainty leads to missed milestones and budget overruns.
Complex variables
Multiple factors impact trial timelines: country regulations, site capabilities, seasonal effects, and patient availability all need to be considered.
Static forecasts fall short
Traditional spreadsheet models can't capture the dynamic nature of clinical trials or provide confidence intervals for decision-making.
Costly delays
Poor forecasting can lead to delays costing millions per month in extended trial duration and missed market opportunities.
AI-Powered Monte Carlo Simulations
Revolutionary forecasting trained on 100,000+ real trial sites using advanced AI algorithms. Run thousands of simulations instantly to get precise confidence intervals and probability distributions for your activation and randomisation timelines. Experience the future of clinical trial planning today.
Scenario Planning
Built by innovators, for innovators. Model different strategies and compare outcomes with tools designed for agile trial teams. Test what-if scenarios for site selection rates, activation speeds, and recruitment patterns—iterate fast, make confident decisions, and optimize your trial design without the enterprise overhead.
Interactive dashboards
Visualize your forecasts with interactive charts and graphs. Export data, adjust parameters in real-time, and share insights with stakeholders to drive better decisions.