We manage everything: cloud, DevOps, databases, networking, observability, IAM, CI/CD, and now LLM Ops. We start with solid DevOps and automation fundamentals — then add AI where it adds real value. Our approach is AI-native, not AI-Maxing.
Our ServicesFull-spectrum infrastructure consulting and professional services. Your environment built and delivered the intelligent way.
Multi-cloud architecture, deployment, and management. From concept to production and beyond — we build infrastructure that scales.
Pipeline design, infrastructure-as-code, and continuous delivery. Architecture reviews, workflow optimization, and team enablement. We build automations that eliminate toil and make deployments reliable, repeatable, and fast.
Network architecture, security, and connectivity — including hybrid cloud, multi-region setups, and zero-trust design. We build networks that just work.
Database design, migration, and performance tuning. From relational to NoSQL — we architect, deploy, and manage data layers that are fast, resilient, and cost-effective.
IAM design, secret management, and security hardening across your entire stack. We build defense into every layer, not as an afterthought.
Monitoring, logging, tracing, and alerting that actually works. Dashboards, runbooks, and incident workflows that turn noise into signal.
Self-hosted and managed inference infrastructure — local model deployment, AI gateways, routing, memory layers, integrations, permissions, guardrails, and observability. End-to-end tooling that keeps your data, your costs, and your AI systems under control.
Project and Service Management tooling that serves as your system of record. Visibility and controls for everything — what humans do and what AI models do. We implement modern tooling like Plane.so and Jira, build ITSM workflows, and enable AI agents to work alongside humans on shared tasks, all tracked in one place.
AI-Native, doesn't mean AI-Everything. AI is still in our DNA, but we don't buy the token maxing hype.
AI is integral to our processes and methodology — from AI-augmented code generation, intelligent review, automated documentation, and AI-assisted troubleshooting — making us faster and more accurate.
We even built this website with AI's help. Those em dashes are a dead giveaway.
But we don't believe that you just need to throw all tasks at AI agents and expect them to figure out everything. Solid DevOps principles, CI/CD discipline, and automation fundamentals still matter. AI is a multiplier on good engineering — not a replacement for it.
We use AI where it adds real value: writing and debugging code, processing large volumes of information, surfacing patterns humans miss, and freeing our engineers to focus on the decisions that matter. The rest is built on the same rigorous automation and reliability standards you'd expect from any serious infrastructure team.
Domain expertise is the critical success factor. Humans decide what and where AI augments, not the other way around.
AI excels at non-deterministic work — problem-solving that requires extrapolation, pattern recognition, and connecting the dots. Rule-based problems are best solved with traditional DevOps and software. Combining both is where the real value lives.
Sovereignty and economics matter in everything we do — running models locally, on your infrastructure, is often the difference between an AI budget that scales with you and one that doesn't.
Gamma Ray is an infrastructure consulting firm built around one conviction: the best way to deliver modern infrastructure is with AI's help. Not by replacing engineers with AI agents, but by augmenting skilled teams with AI tools that make them dramatically more productive.
We practice what we preach — our own infrastructure, CI/CD pipelines, cluster management, and deployment workflows are all built and maintained by a team of experts powered by AI-augmented processes. That's the standard we bring to every engagement.
Infrastructure expertise. AI-native approach. DevOps fundamentals.