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.

Can you embed with our existing engineering team?

Yes — our Embedded Engineering Pod model sits inside your tools, standups, and sprint cycle as an extension of your team.

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 × SaaS & Tech

Cloud-Native Backend & MLOps for SaaS & Tech

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 saas & tech teams.

SaaS & Tech 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. Product engineering, API platforms, and dev tooling — extra senior capacity to ship your roadmap faster.

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 saas & tech teams specifically, your roadmap is longer than your team. Hiring is slow, and contractors disappear at the hard parts. Velocity stalls right when the market is moving.

02Our approach — the Forge Method, applied

01Blueprint how saas & tech 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 saas & tech 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 saas & tech 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
Product feature engineering
API platforms & integrations
Multi-tenant SaaS architecture
AI features & copilots
Cloud, DevOps & observability
Developer tooling & internal platforms

//Outcomes

What you can expect

Senior

capacity, fast

Roadmap

shipped, not stalled

Notebook → prod

real ML pipeline

Monitored

for drift

//FAQ

Questions, answered straight

Product engineering, API platforms, and dev tooling — extra senior capacity to ship your roadmap faster. 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