Zymr re-architected the platform using a modular microservices architecture deployed on AWS EKS. Tenant isolation and regional failover capabilities were built into the infrastructure. An AI-powered scheduling engine using AWS SageMaker reduced no-shows by offering real-time, intelligent coordination. HIPAA compliance was achieved through RBAC (via Auth0), encryption-at-rest using AWS KMS, and audit logging. A modern UI was built using React and Material UI, supported by reusable components and A/B testing.
A US-based SaaS company offering healthcare practice management solutions to clinics and small hospitals across North America. The client aimed to transform its monolithic application into a HIPAA-compliant, AI-enhanced multi-tenant SaaS platform to support nationwide growth.
The existing system was a single-tenant monolith that hampered scalability and made feature rollouts complex. Appointment scheduling was manual and prone to errors, causing inefficiencies. Data security features were outdated and not aligned with HIPAA standards. Integration with Electronic Health Records (EHR) and billing systems was slow, and the UI lacked mobile responsiveness, affecting adoption.
The platform achieved HIPAA compliance within 60 days of launch and improved uptime to 99.99%. Onboarding time for new practices decreased by 70%, and support ticket volumes dropped by 40%.
Zymr re-architected the platform using a modular microservices architecture deployed on AWS EKS. Tenant isolation and regional failover capabilities were built into the infrastructure. An AI-powered scheduling engine using AWS SageMaker reduced no-shows by offering real-time, intelligent coordination. HIPAA compliance was achieved through RBAC (via Auth0), encryption-at-rest using AWS KMS, and audit logging. A modern UI was built using React and Material UI, supported by reusable components and A/B testing.
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