• Skip to main content
  • Skip to secondary menu
  • Skip to primary sidebar
  • Skip to secondary sidebar
  • Skip to footer

  • Opinion
  • Health IT
    • Behavioral Health
    • Care Coordination
    • EMR/EHR
    • Interoperability
    • Patient Engagement
    • Population Health Management
    • Revenue Cycle Management
    • Social Determinants of Health
  • Digital Health
    • AI
    • Blockchain
    • Precision Medicine
    • Telehealth
    • Wearables
  • Startups
  • M&A
  • Value-based Care
    • Accountable Care (ACOs)
    • Medicare Advantage
  • Life Sciences
  • Research

SimCare AI Raises $2M for AI-Powered Clinical Training Platform

by Jasmine Pennic 02/27/2025 Leave a Comment

  • LinkedIn
  • Twitter
  • Facebook
  • Email
  • Print

What You Should Know: 

– SimCare AI, a healthcare technology company developing an AI-powered clinical training platform secures $2M in seed funding round led by Y Combinator and Drive Capital.

– The investment will support the company’s mission to address the critical shortage of clinicians and transform healthcare education.

Platform Aims to Address Healthcare Workforce Shortages and Improve Training Efficiency

The healthcare industry is facing a severe shortage of clinicians, with the deficit projected to worsen in the coming years. When co-founder Vrishank Saini struggled with a clinical communications exam, he and his co-founder Tigran Bdoyan developed an AI solution that quickly gained traction, attracting thousands of users and generating revenue within weeks. Despite initial rejection from Y Combinator, their persistence and innovative approach ultimately secured them $500,000 in funding to build SimCare AI.

SimCare AI’s platform provides a unique solution to the challenges of traditional clinical training. By utilizing AI-powered “patients,” the platform allows students and healthcare professionals to practice their skills and demonstrate competency in a safe and controlled environment. This approach offers several key advantages:  

  • Reduced training time: SimCare AI’s technology can potentially reduce the number of required patient interactions for competency verification from 200 to just 20, significantly accelerating the training process.  
  • Increased accessibility: The platform can be accessed anytime, anywhere, providing flexibility and convenience for learners.  
  • Cost-effectiveness: Reduces the need for costly and time-consuming in-person training and supervision.  
  • Personalized learning: Tailors training scenarios to individual learner needs and skill levels.
  • Standardized assessments: Provides a standardized and objective approach to evaluating clinical competency.

“We took a risk to prove our point,” said Vrishank Saini, CEO and Co-founder of SimCare AI. “By using AI patients, we’ve set a clinical benchmark for how training should be measured – efficient, reliable, and cost-effective. Current training methods excel at teaching acute conditions but fall short with chronic diseases that develop over months and years. A medication change today might not show its impact for months, and missed interventions might not reveal their consequences for years. SimCare AI’s simulations compress these timelines dramatically, allowing clinicians to witness disease progression patterns that would traditionally take years to experience.”

  • LinkedIn
  • Twitter
  • Facebook
  • Email
  • Print

Tap Native

Get in-depth healthcare technology analysis and commentary delivered straight to your email weekly

Reader Interactions

Primary Sidebar

Subscribe to HIT Consultant

Latest insightful articles delivered straight to your inbox weekly.

Submit a Tip or Pitch

Featured Insights

2025 EMR Software Pricing Guide

2025 EMR Software Pricing Guide

Featured Interview

Virta Health CEO: GLP-1s Didn’t Kill Weight Watchers, Its Broken Model Did

Most-Read

Moving Beyond EHRs: What Lies Ahead for Healthcare Digitization?

AI Agents vs. Chatbots: Understanding Agentic AI’s Role in Healthcare

AI Breakthrough Reveals 2025 AI Breakthrough Award Winners

AI Breakthrough Reveals 2025 AI Breakthrough Award Winners

Healthcare's Big Blind Spot: The Measurement Crisis in Inpatient Psychiatry

Healthcare’s Big Blind Spot: The Measurement Crisis in Inpatient Psychiatry

Lessons Learned from The Change Healthcare Cyberattack, One Year Later

Lessons Learned from The Change Healthcare Cyberattack, One Year Later

Blue Cross Blue Shield of Massachusetts Launches "CloseKnit" Virtual-First Primary Care Option

Blue Cross Blue Shield of Massachusetts Launches “CloseKnit” Virtual-First Primary Care Option

Omada Health Launches "Nutritional Intelligence" with AI Agent OmadaSpark

Omada Health Soars in NASDAQ Debut, Signaling Digital Health IPO Rebound

Medtronic to Separate Diabetes Business into New Standalone Company

Medtronic to Separate Diabetes Business into New Standalone Company

White House, IBM Partner to Fight COVID-19 Using Supercomputers

HHS Sets Pricing Targets for Trump’s EO on Most-Favored-Nation Drug Pricing

23andMe to Mine Genetic Data for Drug Discovery

Regeneron to Acquire Key 23andMe Assets for $256M, Pledges Continuity of Consumer Genome Services

CureIS Healthcare Sues Epic: Alleges Anti-Competitive Practices & Trade Secret Theft

Secondary Sidebar

Footer

Company

  • About Us
  • Advertise with Us
  • Reprints and Permissions
  • Submit An Op-Ed
  • Contact
  • Subscribe

Editorial Coverage

  • Opinion
  • Health IT
    • Care Coordination
    • EMR/EHR
    • Interoperability
    • Population Health Management
    • Revenue Cycle Management
  • Digital Health
    • Artificial Intelligence
    • Blockchain Tech
    • Precision Medicine
    • Telehealth
    • Wearables
  • Startups
  • Value-Based Care
    • Accountable Care
    • Medicare Advantage

Connect

Subscribe to HIT Consultant Media

Latest insightful articles delivered straight to your inbox weekly

Copyright © 2025. HIT Consultant Media. All Rights Reserved. Privacy Policy |