Healthtech startup SimCare AI raises $2m to scale clinical training with AI patients

SimCare AI, a healthtech startup creating simulated conversations with AI patients to scale healthcare training, has raised $2 million in seed funding to rethink clinical training from first principles: using AI patients to bypass regulatory constraints and certify clinical skills with far fewer patient interactions.

The funding round was led by Y Combinator and Drive Capital, with participation from Harper Court Ventures Fund, Singularity Capital, Triple S Ventures, Goodwater Capital, Asymmetry Ventures, Sand Hill North, and Transpose Platform.

The story began with a problem: when Founder, Vrishank Saini, failed a critical clinical communications exam and couldn't afford the $9,000 tutor fee, he got together with Tigran Bdoyan and built an AI solution instead. The tool worked so well it attracted 2,500 users and reached $5,000 in monthly recurring revenue within three weeks. After an initial rejection from Y Combinator's S24 batch, Saini and his Co-founder Bdoyan dropped out of college with no funding, moved to San Francisco, and - when told they couldn't reapply to the same batch - created new email accounts and applied again. Y Combinator caught them but, impressed by their determination, gave them $500,000 to build SimCare AI.

Vrishank Saini, CEO and Co-founder, SimCare AI: "We took a risk to prove our point. 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.''

The SimCare AI platform can be customized for different specialties and use cases, from residency programs preparing trainees for complex patient scenarios to social work programs practicing family interventions. Telehealth companies, for example, screen job applicants by testing their skills with SimCare AI patients, enabling faster and more cost-effective hiring. The platform also supports their onboarding, training, upskilling, and remediation without the prolonged timelines and high expenses of traditional training. For healthcare organizations, being able to benchmark and predict performance of their workforce will offer employers an advantage. Currently, SimCare AI has already closed 30 pilots with institutions including the University of Pennsylvania.

The innovation comes at a crucial moment. As seasoned physicians leave the profession while less experienced clinicians backfill positions, the clinical experience gap is widening. Traditional training methods - role-playing, in-person evaluations, and one-on-one interviews - cost institutions hundreds of thousands of dollars annually in faculty time and administrative overhead, while still failing to provide comprehensive exposure to complex patient cases.

SimCare AI’s technology offers a radical solution: proving clinical competency with just 20 patient encounters instead of 200. The system's sophisticated AI maps decision trees for each patient interaction, creating dynamic, realistic conversations that align with accreditation standards. This precision helps institutions track, assess, and verify student competencies according to regulatory requirements – allowing students and professionals to practice and be evaluated anytime, anywhere. This standardized approach not only reduces faculty burden and costs but accelerates the pace at which new clinicians can enter the workforce.

Molly Bonakdarpour, Partner, Drive Capital: ''SimCare AI is addressing a clear need in healthcare training. In just four months, they’ve demonstrated strong early impact, delivering measurable ROI for customers. We’re impressed with their vision and execution and look forward to supporting their continued growth in AI-driven healthcare solutions.''

The platform's impact extends across the healthcare education landscape. While medical schools use SimCare AI to teach patient interactions and clinical reasoning, therapy programs employ it for counseling practice, and telehealth companies leverage it for hiring and upskilling. SimCare AI’s precision helps institutions track, assess, and verify student competencies according to regulatory requirements - a crucial feature for medical schools, nursing programs, and continuing medical education.

Vrishank added: ''Looking ahead, SimCare AI plans to integrate more detailed clinical data - from transcripts to diagnostic workups - into its evaluation system. The company's goal is to standardize clinical training and evaluation across healthcare, enabling competency to be measured quickly and reliably. For risk-bearing organizations, this provides a clear, consistent method to train clinicians in the specific skills that drive quality metrics.''

www.simcare.ai

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