FT OS
v0
Patient Recruitment Engine
Lowest cost / fastest qualified enrollment, bounded by consent, eligibility, privacy and safety.
SYNTHETIC DEMO · NO PHI
FT OS
Recruitment
Talent
Site
Protocol
Monitoring
Data
Vendor
Contract
Lab
Site Selection
Cost
Kill / Continue
Asset Selection
Orchestration
Capital
Hard constraints
Never optimize through these boundaries
Play with the independent variables
Change an input, then recalculate the dependent recruitment outcomes
Recalculate outcomes
Restore starting numbers
Dependent outcomes
Recruitment funnel
Where candidates disappear
Channel economics
Optimize randomized participants, not leads
Screen-failure reasons
Target upstream waste, not eligibility
Site conversion
Who turns screens into randomized participants
Assistive Intelligence action queue
Recommendations require human judgment
Advanced scenario JSON / import
Advanced scenario lab
Edit aggregate JSON only when you need the full model
Run JSON
Reset synthetic demo
Load JSON