SimCare AI, a healthcare simulation platform, has raised $2 million in seed funding to expand its AI-driven clinical training solution. The funding round was led by Y Combinator and Drive Capital, with additional participation from Harper Court Ventures Fund, Singularity Capital, Triple S Ventures, Goodwater Capital, Asymmetry Ventures, Sand Hill North, and Transpose Platform.
SimCare AI’s platform utilizes realistic AI patients to set new standards in clinical training, reducing both the time and cost of training while meeting strict accreditation requirements. The startup’s innovative solution addresses the growing need for clinicians, particularly as traditional medical training struggles to scale effectively.
Founded by University of Chicago dropouts Vrishank Saini and Tigran Bdoyan, SimCare AI was born out of a personal experience. After failing a critical clinical communications exam and being unable to afford a $9,000 tutor fee, Saini and Bdoyan developed an AI solution. The tool quickly gained traction, attracting 2,500 users and generating $5,000 in monthly recurring revenue within three weeks. After initially being rejected by Y Combinator’s S24 batch, the founders moved to San Francisco, re-applied with new email accounts, and secured $500,000 from Y Combinator to build SimCare AI.
The startup's platform enables clinical skills certification with fewer patient interactions by using AI patients to simulate a range of medical conditions. This approach allows trainees to experience the progression of chronic diseases more efficiently, a challenge in traditional training methods. The platform’s customizability also supports different specialties, from residency programs to telehealth companies screening job applicants. Currently, the company has completed 30 pilot programs, including with institutions such as the University of Pennsylvania.
“We’ve set a clinical benchmark with AI patients—efficient, reliable, and cost-effective training that meets accreditation standards,” said Vrishank Saini, CEO and Co-founder. “Traditional training excels in acute conditions but often struggles with chronic diseases. With SimCare AI, we compress timelines dramatically, allowing clinicians to see disease progression and understand long-term patient management.”
SimCare AI’s technology offers a unique solution for clinical competency, requiring just 20 patient encounters instead of 200. The AI maps decision trees for each patient interaction, ensuring dynamic, realistic conversations that adhere to regulatory standards. This approach enables healthcare institutions to assess and verify competencies, reducing faculty burden and accelerating the entry of new clinicians into the workforce.
“They’ve demonstrated strong early impact and measurable ROI for customers. We’re excited to support their growth in AI-driven healthcare solutions,” commented Molly Bonakdarpour, Partner at Drive Capital.
SimCare AI’s impact spans the healthcare education landscape. It is used in medical schools for patient interactions, in therapy programs for counseling practice, and by telehealth companies for hiring and upskilling. The platform’s ability to track and assess competencies according to regulatory requirements is a key feature for institutions offering medical, nursing, and continuing education programs.
The startup plans to integrate more detailed clinical data, such as diagnostic workups and transcripts, into its evaluation system. This expansion will further standardize clinical training and evaluation, providing a clear, consistent method to train clinicians in skills that drive quality metrics.
