Working with fragmented data sources
Multiple databases, inconsistent data models, limited interoperability.
Integrating with legacy & third-party systems
Old APIs, incomplete documentation, vendors outside your control.
Ensuring data security in complex landscapes
Access control, sensitive patient data, security by design — not an afterthought.
Scaling beyond MVP without breaking compliance
Architecture not ready for growth, performance and availability risks.
Maintaining reliability in critical environments
Downtime, failed releases or data issues that directly affect patients.
Publishing new versions safely and on time
High risk of deployment issues, long release cycles, limited rollback options.