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 meet our regulatory and audit requirements?

We build to regulated standards with full audit trails, access controls, and documentation. We scope compliance explicitly at blueprint stage.

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 × Finance & BFSI

Cloud-Native Backend & MLOps for Finance & BFSI

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 finance & bfsi teams.

Finance & BFSI 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. KYC platforms, loan origination, and compliance dashboards built to regulated standards — secure, auditable, and fast.

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 finance & bfsi teams specifically, compliance is manual and slow, legacy systems can't keep up, and every new product fights the existing stack. Risk and audit live in disconnected tools.

02Our approach — the Forge Method, applied

01Blueprint how finance & bfsi 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 finance & bfsi 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 finance & bfsi 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
KYC / AML platforms
Loan origination systems
Compliance & risk dashboards
Secure customer portals
Real-time fraud & anomaly detection
Core-system integration & modernization

//Outcomes

What you can expect

Faster

KYC onboarding

Auditable

by design

Notebook → prod

real ML pipeline

Monitored

for drift

//FAQ

Questions, answered straight

KYC platforms, loan origination, and compliance dashboards built to regulated standards — secure, auditable, and fast. 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