Real Problems,
Production-Grade Answers

Every engagement starts with a concrete business problem. Filter below to find the scenarios closest to yours — by industry or by technical domain.

Finance Cloud Native

Migrating a monolith to Kubernetes without downtime

A tier-1 bank needed to decompose a 15-year-old Java monolith onto EKS while keeping 99.99% availability during a 9-month migration window.

Strangler-pattern rollout with ArgoCD, progressive traffic shifting, and zero customer-visible incidents.

99.99% Availability held

Telco AI / ML

Rolling out agentic AI to customer-service teams

A European telco wanted AI copilots assisting 4,000 support agents, with strict data-residency and PII redaction before anything leaves the EU.

CNCAI-based deployment with on-prem inference, local RAG index, and HITL gates on every action.

38% Avg handle time cut

Retail DevSecOps

Hardening a Kubernetes cluster for PCI-DSS

A retailer operating 22 production clusters needed to pass PCI-DSS 4.0 across AWS, GCP, and on-prem — with consistent policy everywhere.

OPA + Falco + signed images + Vault-backed secrets, all enforced via GitOps and continuously audited.

0 Audit findings

Manufacturing Edge

Running GPU inference at the edge

A manufacturer needed low-latency visual inspection on factory floors with no reliable internet uplink and strict IP-protection requirements.

K3s + NVIDIA GPU operator + offline model sync, managed centrally with a pull-based GitOps model.

<50ms Inference latency

Industry 5.0 Cloud Native

Unifying observability across 40+ microservices

A fast-growing SaaS had observability fragmented across Datadog, New Relic, and home-grown log shipping, making incidents take hours to diagnose.

Consolidated onto Prometheus + Grafana + Loki + Tempo with SLOs and structured runbooks per service.

-72% MTTR reduction

Cross-Industry AI / ML

Migrating from OpenAI to a multi-provider gateway

A B2B product team was locked into a single LLM provider, exposed to rate limits, regional outages, and unpredictable pricing.

LiteLLM-based gateway with fallback across Anthropic, OpenAI, and a local Mistral fine-tune — with per-team budgets.

41% Cost savings

Public Sector Cloud Native

Bootstrapping a sovereign cloud platform

A government agency needed a sovereign Kubernetes platform on a local hyperscaler, with fully air-gapped operations and cryptographic auditability.

Terraform-provisioned Outscale clusters, internal module registry, ArgoCD-driven air-gapped deployments.

100% Air-gapped

Healthcare AI / ML

Fine-tuning a domain LLM on regulated data

A clinical-research organisation needed a domain-specific LLM trained on protected health data, never leaving their VPC.

Kubeflow Trainer + Unsloth LoRA pipeline on private GPUs, with full provenance tracking in MLflow.

2.1x Accuracy vs base

Physical AI DevSecOps

Implementing FinOps for Kubernetes spend

A late-stage startup was burning 35% of its AWS bill on idle and oversized Kubernetes workloads, with no per-team cost visibility.

Kubecost + Karpenter + spot-first policies + OPA guardrails preventing oversize requests at admission time.

-47% K8s spend