Why Go or Rust for the backend?

For high-throughput, low-latency services they deliver performance and safety. We use the right language per service, not one everywhere.

What does MLOps include here?

Versioned deployment, A/B rollout, monitoring, drift detection, and retraining pipelines — the full lifecycle, not just a model endpoint.

Are your systems HIPAA-ready?

Yes — we architect for HIPAA with encryption, access controls, BAAs, and audit logging. We scope compliance requirements explicitly.

How fast can we ship and how do you price it?

Scope and price are locked before code at the Blueprint stage, tied to deliverables — outcomes, not hours. Tightly-scoped builds typically ship in a 30–60 day window.

//Specialized Engineering × Cloud-Native Backend & MLOps × Healthcare

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. Patient portals, telehealth apps, and HIPAA-ready systems engineered for privacy, reliability, and real clinical workflows.

01What's broken without us

Your backend can't keep up, or your models work in a notebook but never make it to production reliably. There's no path from experiment to deployed and monitored. For healthcare teams specifically, clinical workflows are buried in paperwork and disconnected systems. Patient experience suffers, staff burn out on admin, and compliance is a constant worry.

02Our approach — the Forge Method, applied

01Blueprint how healthcare teams actually use cloud-native backend & mlops today, and lock scope, price, and the metric before code.
02Prototype the highest-value cloud-native backend & mlops loop against real healthcare data — not a generic demo.
03Forge a production-grade build on Go, Rust, Kubernetes, with CI/CD and observability from day one.
04Harden and hand off documented, ready for healthcare teams to extend.

//Capabilities

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
Patient portals & telehealth apps
HIPAA-ready data systems
Voice AI for scheduling & triage
Clinical workflow automation
Wearable & biometric integration
Secure messaging & records access

//Outcomes

What you can expect

HIPAA-ready

architecture

24/7

patient access

Notebook → prod

real ML pipeline

Monitored

for drift

//FAQ

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.

//Explore further

//Next step

Is the build ready to scope?
Find out in the scorecard, or talk it through on a call.

Take the Build Readiness Scorecard