Private period tracker app with no account required, works offline
AI-driven payments intelligence platform for healthcare revenue cycle management
Stage
Not given
Established
Founded
Not given
2017
Based in
Not given
US
Pricing model
Freemium
Contact for pricing
Pricing
Free for all core features (period logging, calendar, predictions, reminders, export, deletion). Cloud sync: US$3.99 one-time purchase for syncing across devices and transferring records to a new phone.
Not given
Key features
Period and cycle logging in one tap
Next-period prediction with date range and confidence level
Cycle calendar view
Export data as JSON, CSV, or readable summary
One-tap delete all with confirmation
Works fully offline with no internet required
Optional encrypted cloud sync across devices
Ovulation window and ovulation day estimates
No ads, analytics, or third-party data sharing
Real-time reimbursement risk prediction before claims are submitted
Comprehensive intelligence connecting clinical and payment data
Actionable, role-specific prevention and recovery recommendations
Integration with existing revenue cycle workflows
329 proprietary MS-DRG playbooks
Analysis of 10,000+ data points across claims lifecycle
Continuous model refinement and learning
Denial appeal prioritization based on overturnability
Pre-bill, concurrent, and post-bill denial prevention
Clinical root cause identification by payer and documentation pattern
What makes it different
No account required to use — open and start logging immediately
All data stays on your phone by default with no forced cloud sync
Handles irregular cycles by widening prediction range instead of marking you abnormal
Completely free core features with optional one-time paid sync, never a subscription
Privacy-first design with no third-party integrations or data selling
Predicts reimbursement risk in real-time as care is documented, not after billing
Delivers actionable intelligence embedded directly into existing team workflows
Proven at scale across 88 health systems with millions of analyzed claims
Built by team with 150+ years combined experience in data science and RCM