Every night, 30 million people face the same impossible question:

"When should I take my sleep medication?"

It's 9 PM. Sarah stares at her prescription bottle. The label says "take as needed." But when? If she takes it now and can't sleep anyway, she's wasted a dose. If she waits too long, it won't work in time. Take too much, she'll be groggy tomorrow. Take too little, another sleepless night.

She's not alone. And she shouldn't have to guess.

Take as needed ?

The Problem: Healthcare Ends at the Prescription

Modern healthcare is extraordinary at diagnosis and prescription. But the moment a patient leaves the clinic, clinical visibility collapses.

In the Clinic

Diagnosis

Prescription

Clinical oversight

Everything visible

The Black Box

Patient alone

No guidance

No feedback

Just guesswork

Outcomes Unknown

Missed doses

Side effects

ER visits

Waste

$0B

Annual cost of medication non-adherence in the US

0%

Patients who don't take medications as prescribed

0%

Of adverse drug events occur at home, invisible to providers

Drugs Can Be Upgraded

What if medications came with intelligence? Not to replace doctors, but to extend their care into the moments that matter most—when patients are alone, uncertain, and making decisions in the dark.

Introducing DrugOS: AI-Augmented Therapeutics

Patient Data
AI Agent
Clinician

DrugOS pairs approved prescription drugs with dedicated AI agents that analyze continuous patient data, learn individual response patterns, and provide interpretable, just-in-time decision support.

This isn't automation. It's augmentation.

The molecule doesn't change. The outcomes do. By wrapping proven drugs with intelligent software, we transform generic medications into differentiated products that demonstrate superior real-world efficacy, safety, and adherence.

From Data to Decision: The DrugOS System

1

Continuous Data Collection

DrugOS passively monitors sleep patterns, activity levels, symptom diaries, and medication timing through wearables and smartphones. No manual logging required.

2

Personalized Intelligence

The AI agent starts with drug pharmacokinetics and population data, then adapts within ~7 days by learning your unique patterns, triggers, and response profiles.

3

Interpretable Decision Support

Get timing recommendations, context-aware insights, and risk alerts—all with clear explanations. Clinicians see aggregated insights at follow-ups.

AI-Augmented Therapeutics Create Value Across the Ecosystem

For Patients

  • End the guesswork—know when to take medications safely
  • Early side effect detection
  • Improved adherence through understanding
  • Real-time treatment insights
Better outcomes, fewer side effects, more confidence

For Pharma Companies

  • Transform generics into differentiated products
  • Command premium reimbursement
  • Competitive advantage vs. me-too products
  • Generate real-world evidence continuously
New revenue from existing assets without R&D risk

For Healthcare Systems

  • Reduced medication waste
  • Fewer adverse events and ER visits
  • Better disease management
  • Value-based reimbursement models
Pay more per drug, spend less per patient

Every Drug Becomes Adaptive

DrugOS begins with PRN medications where timing is everything. But this is just the beginning. Just as continuous glucose monitoring transformed diabetes care, DrugOS will enable post-prescription optimization across all of medicine.

Today: PRN

Critical Timing

  • Insomnia (sleep agents)
  • Migraine (triptans)
  • Acute pain management
  • Angina (nitrates)
  • Asthma (rescue inhalers)
Tomorrow: Chronic

Dynamic Dosing

  • Hypertension (BP-based)
  • Heart failure (diuretics)
  • Depression (mood tracking)
  • COPD (environmental)
Vision

Universal Intelligence

Every drug becomes adaptive.

Analog → Digital → Intelligent

The Future of Medicine Is Software-Augmented

For decades, we've accepted a fundamental limitation: Once prescribed, medications are static. Patients are alone. Doctors are blind.

DrugOS changes that.

We're building the infrastructure layer for post-prescription care—turning every drug into an intelligent, adaptive therapeutic that learns, guides, and improves outcomes in the real world.

This is how healthcare scales.