About Zlick
Zlick is built for teams that need a more realistic view of how recruitment will unfold, and what they can do about it.
Clinical trial enrollment is shaped by more than planned site count and historical averages. Protocol design, eligibility, country mix, seasonality, site experience, competition, patient access, operational delays, and recruitment strategy all interact over time.
Zlick brings those inputs into one structured forecasting workflow so clinical teams can test decisions before timelines slip.
Zlick is designed for clinical operations, feasibility, patient recruitment, innovation, CRO, and executive teams that need to understand enrollment risk early and revisit assumptions as trials evolve.
The goal is practical: clearer forecasts, better scenarios, and better conversations about what to do next.
Principles
Forecasts should start with the trial, the market, the patients, and the operational plan.
Teams should be able to model real decisions, not just view a static timeline.
Every forecast should help users understand the drivers, tradeoffs, and limits.
Aggregated feedback can help sharpen future assumptions as the platform learns.