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.

Do you meet accessibility requirements?

Yes — accessibility (WCAG) is built in, which is both a legal and ethical requirement for public services.

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 × Government & GovTech

Cloud-Native Backend & MLOps for Government & GovTech

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 government & govtech teams.

Government & GovTech 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. Citizen portals, grant management, and RFP tools built for accessibility, transparency, and scale.

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 government & govtech teams specifically, public services run on aging systems that are hard to use and harder to change. Accessibility and transparency requirements add real constraints.

02Our approach — the Forge Method, applied

01Blueprint how government & govtech 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 government & govtech 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 government & govtech 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
Citizen service portals
Grant & RFP management systems
Case & permit workflows
Accessibility-first interfaces (WCAG)
Secure data platforms
Public reporting dashboards

//Outcomes

What you can expect

WCAG

accessible by default

Transparent

auditable processes

Notebook → prod

real ML pipeline

Monitored

for drift

//FAQ

Questions, answered straight

Citizen portals, grant management, and RFP tools built for accessibility, transparency, and scale. 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