After eight years of building and validating a clinical intelligence platform trained on 12 million patient data points, Mehmet Kazgan of cliexa has arrived at the moment he has been preparing for. In this conversation with StartUp Health co-founder Unity Stoakes, Kazgan breaks down the four waves of healthcare technology, why clinical reasoning is the next frontier, and how cliexa is deploying that intelligence in real time across patients, providers, and payers. From their reseller partnership with Mayo Clinic Platform to a 36-location deployment with Eating Recovery Center, this is a story about what it looks like when the hard work of validation meets a market that is finally ready.

🤖 Clinical Reasoning Engine: cliexa’s AI platform enhances clinical decision-making by integrating with EMRs, allowing clinicians to make informed choices based on real-time data from complex conditions.

🏥 Seamless Integration: The platform operates across multiple stages – patient interaction, clinician engagement, and billing – creating a unified workflow that supports efficiency.

🧠 AI-Driven Insights: By analyzing large datasets, cliexa’s AI provides insights into patient care, helping clinicians monitor health, track conditions, and identify risk factors like opioid misuse or cardiovascular issues.

🌍 Partnerships with Mayo Clinic and ACC: cliexa has partnered with Mayo Clinic and the American College of Cardiology, working on complex conditions and ensuring AI-backed solutions are tested, validated, and integrated into clinical settings.

🔄 Optimizing, Not Replacing: The platform optimizes existing systems without disrupting workflows, enabling AI tools to support clinical reasoning, medical necessity, and administrative tasks like billing and patient onboarding.

📊 Real-Time Clinical Intelligence: cliexa’s platform generates actionable, real-time clinical intelligence, helping providers navigate payer guidelines, improve medical necessity decisions, and avoid costly errors.

💡 Future Prospects: cliexa is expanding into government sectors, including military and VA health systems, and plans to release research papers in the AI space within the next six months.