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2023-09-12

Headquarters

NYC πŸ—½

Employee Count

4

Year Founded

2023

Amount raised

$220k

Business model

B2B SaaS, per patient per month

Early traction

Signed first SMB customer and contracting with a few others.

Setting the Scene
  • In the US alone, over 4 billion prescriptions are dispensed annually. πŸ‘©πŸ½β€βš•οΈ

  • Yet, countless patients are left puzzled over medication instructions, missed dosages, and navigating potential side effects.

  • To find answers, many are left chasing callbacks from their busy doctors or even taking that trip back to the pharmacy. 🀦🏼

  • This week's company provides an AI platform that assists patients in managing and understanding their medications.

In a Sentence

Pharmesol is an AI-driven software that enables healthcare providers to automate medication management.

  • Automate: Pharmesol’s software provides 24/7 automated SMS dialogues, ensuring continuous guidance about medications.

  • Management: Pharmesol clarifies directions, helps patients recognize side effects, and directs major concerns to medical experts.

Bulleted Version

Think of Pharmesol as your 24/7 medication management hotline. πŸ“³
Due Diligence
What We Like
  • πŸ“ˆ Market positioning: With a rising emphasis on minimizing medication errors, the medication management system market is set to continue growing rapidly.

    • Pharmesol is positioned to support the 75% of patients who struggle to manage and take their medications as directed.

  • βš™οΈ Pharmacy efficiency: Pharmesol boosts operational efficiency through 24/7 management, improved patient adherence, and customer loyalty, while alleviating overstretched pharmacy staffs.

  • 🀝 Ecosystem advantage: Pharmesol optimizes operations and insights across patients, pharmacies, clinicians, insurers, and pharmaceutical companies, unlocking new revenue opportunities and ecosystem-wide savings.

Potential Risks
  • 🚫 Liability concerns: Any misinformation or drug misuse as a result of information shared by the platform could pose significant liability risks for pharmacies and their clinicians.

  • πŸ•°οΈ Training the model: Thoroughly training the AI for the vast array of medications, conditions, and patient types may be both costly and time-intensive.

  • πŸ“š Learning curve: As healthcare providers and patients adopt Pharmesol, there could be a learning phase β€” both for how to use the software and recognizing when hands-on intervention is necessary.

Founder Profile
NP
Natalie Park, CEO
Previously implemented clinical and operational programs while working at Geisinger and holds a Doctor of Pharmacy degree.

BF
Batman Feldman, CTO
Previously worked as a software engineer at numerous high-growth startups as well as Amazon.

SR
Saumya Rawat, CPO
MIT clinical machine learning engineer and previously worked at a medical data labeling startup and as an engineer at Peloton.

WhyPharmesol

By minimizing the need for clinician input, offering 24/7 patient support, and enhancing pharmacy operational efficiency, Pharmesol is writing a new script for the future of telemedicine.πŸ“

*Nothing in this content constitutes investment or legal advice. Conduct independent diligence and consult professional advisers before making investment decisions.*

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