Life sciences leaders and AI specialists collaborate to build clinically accurate, compliant and emotionally intelligent medical training simulations
SmartWinnr, a leading sales enablement and readiness platform, has launched a specialised medical simulation centre of excellence to strengthen the accuracy, relevance and compliance readiness of its AI-driven learning solutions for the pharmaceutical and medtech sectors. The company currently works with over 70+ life sciences organizations across 30+ countries.
The new centre brings together experienced life sciences professionals and AI specialists to ensure that every simulation reflects real-world medical conversations and field conditions. It is designed to continuously enhance SmartWinnr’s AI systems with deep clinical knowledge, therapeutic insights, behavioral science and frontline sales experience. The goal is to build AI that understands the scientific, emotional and ethical dimensions that shape how customer-facing teams engage with healthcare professionals.
SmartWinnr’s approach places human expertise at the core of AI development. Former pharma leaders, medical experts and training specialists work continuously to train, validate and refine the simulations. Their involvement ensures that the AI responds with the same complexity, precision and empathy expected in real healthcare interactions.
The system is trained across two critical dimensions. First, it is coached to think like a healthcare professional by raising authentic questions, objections and concerns that arise in clinical discussions. Second, it is trained to evaluate the performance of medical representatives and deliver clear, actionable feedback that drives measurable improvement. During pilot deployments, customers reported an improvement of 35 percent in representative confidence and 45 per cent in message recall.
Keats K Das, Chief of Staff and Director of Sales @ SmartWinnr, said, “We decided to invest in domain-specific AI because that is where meaningful intelligence truly begins. Generic models can simulate conversations, but they cannot fully understand the science, context or compliance responsibilities that define how pharma and medtech teams interact with healthcare professionals. Our goal is to build AI that communicates with accuracy, empathy and regulatory awareness.”
He added, “Our vision goes beyond automation. We are creating AI that continuously learns from real human expertise. By embedding medical, behavioral and compliance insights into every simulation, we are helping life sciences organisations achieve what traditional digital learning often misses. That is authenticity, confidence and measurable readiness for every medical representative in the field.”
