Custom Healthcare SaaS & MVP Engineering

Every build starts with the business logic, not the tech stack. In a 1-2 week discovery phase we map how your operation actually works: who touches which data, what gets billed and under which codes, what reports leadership needs, where the manual work lives, and which parts of the model are genuinely yours versus commodity. That produces two artifacts — a data model and a phased build plan — and the first phase is always the narrowest slice that replaces real manual work. From there the architecture follows patterns proven in production: a Python API backend (FastAPI or Litestar) on PostgreSQL, with row-level security and schema-per-tenant isolation if multi-tenancy is on the roadmap; field-level encryption for patient identifiers; role-based access control designed around your actual org chart; and audit logging from the first migration, not bolted on later. Frontends are built to fit the users — Flutter web or React for staff-facing dashboards, Expo React Native when patients or field staff need a native mobile app — sharing one design system so the product looks coherent everywhere. Everything deploys through CI/CD to serverless cloud infrastructure (GCP Cloud Run or AWS), so shipping an improvement is a git push, not a maintenance window. An initial production MVP typically lands in 8-12 weeks; after that, the system evolves in short iterative cycles driven by what your team actually uses. When the product is ready to serve other organizations, the multi-tenant conversion path — organization onboarding, tenant-scoped encryption, isolated data environments — is already designed in rather than requiring a rewrite.