SimCare AI, a Chicago, IL-based clinical training company using AI patients to bypass regulatory constraints and certify clinical skills with far fewer patient interactions, raised $2M in Seed funding.
The 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 company intends to use the funds to expand operations and its development efforts.
Founded by Vrishank Saini and Tigran Bdoyan, SimCare AI provides an AI-driven healthcare simulation platform that uses realistic AI patients to cut training time and cost while meeting strict accreditation standards. The system’s 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 reduces faculty burden and costs and accelerates the pace at which new clinicians can enter the workforce.
The 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.
Currently, SimCare AI has already closed 30 pilots with institutions including the University of Pennsylvania.
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