SimCare AI has announced $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.
SimCare AI creates simulated conversations with AI patients to scale healthcare training.
Healthcare organisations use its clinical simulations for more efficient recruitment, reduced training time and costs, and enhanced patient outcomes.
Vrishank Saini, CEO and Co-founder of SimCare AI, said: “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 customised for different specialties and use cases, from residency programmes preparing trainees for complex patient scenarios to social work programmes 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 organisations, 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.
Molly Bonakdarpour, Partner at Drive Capital, said: “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.”
Vrishank Sainiadded: “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 standardise clinical training and evaluation across healthcare, enabling competency to be measured quickly and reliably.
“For risk-bearing organisations, this provides a clear, consistent method to train clinicians in the specific skills that drive quality metrics.”
