About Cloudefined
Cloudefined is a specialized engineering consultancy helping technology companies architect cloud platforms, automate infrastructure, and build production AI systems — since 2021.
What started as a DevOps and cloud infrastructure consultancy quickly grew into a trusted partner for companies across multiple industries. We've completed 100+ projects — delivering end-to-end cloud solutions, infrastructure automation, and DevOps transformation.
Our work has helped clients achieve 25x faster code delivery, 80% reduction in outages and downtime, 100x more frequent production deployments, and 10x faster service failure restoration.
As the AI landscape evolved, so did we. We recognized early that the biggest gap in enterprise AI wasn't the models — it was the engineering. Today, Cloudefined bridges deep cloud infrastructure expertise with hands-on AI agent engineering. We build multi-agent systems, design workflow automation, and deploy the cloud infrastructure that keeps AI systems running in production.
Our Journey
Founded Cloudefined
Started as a DevOps and cloud infrastructure consultancy, helping companies go cloud-native with AWS, Terraform, and modern IaC practices.
100+ Projects Delivered
Grew to serve clients across media, tech, and e-commerce. Delivered cloud migrations, serverless architectures, Kubernetes deployments, and infrastructure automation at scale.
The AI Evolution
Expanded into GenAI engineering — multi-agent systems, AI workflow automation, and the cloud infrastructure needed to run AI in production.
Platforms We Work With
What We Believe
Infrastructure-First AI
We don't build demos. We build AI systems that survive their first week in production — with monitoring, observability, and proper deployment pipelines.
Protocol-Native Thinking
We build on open standards — MCP, A2A, OpenAPI — not proprietary lock-in. Your AI systems should be interoperable and future-proof.
Ship, Measure, Iterate
The DevOps loop applies to AI too. We instrument everything, measure what matters, and iterate based on real metrics.
Complexity Budget
Every decision has a complexity cost. We keep AI systems simple enough that your team can own them after we leave.
Open Source Contributions
We believe in building in the open. Our tools — including MCP servers for Prometheus and Azure Data Explorer — are used by hundreds of teams worldwide. Explore our open source projects