Platforms that make shipping boring.
We modernise infrastructure and build internal developer platforms with golden paths, policy-as-code and observability baked in, along with the GPU and model-serving infrastructure that AI workloads now demand.
AWS · Azure · GCP
Multi-cloud delivery
Policy-as-code
Security and compliance automated
SLO-driven
Reliability measured from the user's view
What is platform engineering?
Platform engineering is the discipline of building internal developer platforms (self-service tooling, paved-road templates, infrastructure automation and guardrails) so product teams can build, deploy and operate software without reinventing infrastructure. It improves delivery speed, reliability, security and cost control at the same time.
Resilient, cost-efficient cloud foundations and internal developer platforms that let teams ship AI and software safely and fast.
Our Cloud & Platform capabilities.
Cloud migration & modernisation
Workload assessment, landing zones and zero-downtime migration roadmaps.
Internal developer platforms
Golden paths, service catalogues and self-service environments on Backstage or similar.
AI & GPU infrastructure
Model serving, GPU scheduling, inference gateways and private LLM hosting.
DevSecOps & GitOps
Automated security gates, supply-chain security and GitOps delivery with Argo CD.
SRE & observability
SLOs, OpenTelemetry instrumentation, incident response and chaos engineering.
FinOps & cost optimisation
Unit economics, rightsizing and AI token/GPU cost governance.
Where it pays back first.
High-value starting points we see across industries. We will help you rank them against your own data, systems and risk appetite.
01
Data-centre exit
Plan and execute moves to public or hybrid cloud.
02
Developer experience
Cut lead time for changes with paved-road platforms.
03
Private AI
Host open-weight models inside your own cloud boundary.
04
Cost control
Bring cloud and AI spend in line with business value.
A clear path to production.
Assess
Baseline architecture, DORA metrics, spend and risk.
Design
Target platform, landing zones and migration waves.
Engineer
Infrastructure as code, pipelines and golden paths.
Run
SRE practices, cost governance and continuous improvement.
Tools we ship with.
Selected on merit for your context. We are model-, cloud- and vendor-agnostic.
- AWS
- Microsoft Azure
- Google Cloud
- Kubernetes
- Terraform
- OpenTofu
- Pulumi
- Argo CD
- Backstage
- Istio
- Prometheus
- Grafana
- OpenTelemetry
- vLLM
- Ray
- NVIDIA NIM
- Open Policy Agent
- GitHub Actions
Cloud & Platform: your questions answered.
An internal developer platform is a self-service layer over your infrastructure that gives engineers standard templates, environments, pipelines and guardrails, so they can ship without filing tickets or becoming infrastructure experts.
We tag and attribute spend to products, set budgets and alerts, rightsize compute, use caching and model routing for AI workloads, and report unit costs such as cost per transaction or per agent task.
Ready to put Cloud & Platform to work? Start with one workflow.
Book a 45-minute strategy session with a Vidura principal. You'll leave with a shortlist of high-ROI AI use cases, the risks to manage, and a realistic path to production.