Colibri Group has acquired Audirie, a communication intelligence platform, for an undisclosed amount. Audirie specializes in transforming how health professionals learn, train, and prepare for practice through AI-powered immersive simulations. These simulations are designed to help pharmacists, interns, students, and pharmacy assistants build confidence in patient communication, clinical decision-making, and counseling skills within a safe and scalable environment.
Audirie's platform delivers realistic, structured, and personalized simulations, providing every learner with actionable feedback that improves both competence and confidence. The company has already powered tens of thousands of simulations and is trusted by leading professional bodies, universities, and pharmacy groups across Australia. Its technology integrates seamlessly with existing training and assessment programs, enabling organizations to save time, improve learning outcomes, and prepare their teams for full scope of practice.
This acquisition is strategic for Colibri Group, significantly expanding its capabilities in professional education and skill development with Audirie's innovative simulation technology. Audirie was founded by clinicians and technologists with a vision to close training gaps and strengthen the healthcare workforce. While pharmacy has been its starting point, its technology is designed to scale across industries, providing organizations worldwide with a powerful way to deliver practice, assessment, and coaching at scale.
The integration of Audirie's advanced simulation platform into Colibri Group is expected to create significant synergies, enhancing the delivery of practical, immersive learning experiences across a broader professional landscape. The combined entity will be well-positioned to address critical training needs, improve professional readiness, and support the development of skilled workforces across healthcare and potentially other sectors globally, leveraging Audirie's proven ability to deliver impactful learning at scale.