The work clients bring when failure is expensive.
Three detailed examples of critical workflows, platform foundations, and applied AI software designed around real operating constraints.
Client and product names remain confidential. Each case study focuses on the problem, decisions, delivered system, and outcomes.
A complete doctor–patient platform, from booking to video consultation.
A secure digital-care platform connecting patients and clinicians through onboarding, scheduling, records, messaging, payments, prescriptions, and browser-based video appointments.
- Java
- Spring Boot
- React
- Next.js
- PostgreSQL
A multi-tenant commerce platform for complex pricing and fulfilment.
A self-service B2B platform bringing customer-specific catalogues, contract pricing, approvals, ordering, payments, fulfilment, and account administration into one product.
- Java
- Spring Boot
- React
- Next.js
- PostgreSQL
A governed lakehouse for real-time analytics and data science.
A data platform ingesting operational databases, APIs, files, and event streams into a governed lakehouse for self-service analytics, reporting, and machine-learning workloads.
- Java
- Spring Boot
- React
- Next.js
- Kafka
Much of Qubit’s strongest work sits inside client products and operating systems. We keep identities and sensitive screens private, then share the most relevant walkthroughs and references in a fit call when confidentiality permits.
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