Cloud-Native Backend & MLOps for Healthcare
High-performance backends and the MLOps to deploy, monitor, and retrain models in production — for SaaS, AI products, and real-time data platforms. Engineered for healthcare teams.
Healthcare teams don't need a generic vendor — they need cloud-native backend & mlops built around how they actually operate. High-performance backends and the MLOps to deploy, monitor, and retrain models in production — for SaaS, AI products, and real-time data platforms.
Clinical workflows are buried in paperwork and disconnected systems. Patient experience suffers, staff burn out on admin, and compliance is a constant worry.
- 01Architect services and the ML lifecycle around real load and SLAs.
- 02Prototype deployment and monitoring before scaling.
- 03Forge microservices, pipelines, and IaC.
- 04Harden with A/B deployment, drift monitoring, and retraining.
- Microservices (Go, Rust, Node.js, .NET)
- Serverless & container orchestration (K8s, Nomad)
- CI/CD (GitHub Actions, GitLab CI, ArgoCD)
- MLOps: deployment, A/B, monitoring, drift
- Data engineering (feature stores, ETL)
- Infrastructure as Code (Terraform, Pulumi)
- Real-time event streaming
- Event-driven architecture
What you can expect
Questions, answered straight
Patient portals, telehealth apps, and HIPAA-ready systems engineered for privacy, reliability, and real clinical workflows. We bring cloud-native backend & mlops depth to those exact systems rather than retrofitting a template.