Build Less. Automate Everything. Scale Forever.
Click anywhere to enterBuild Less. Automate Everything. Scale Forever.
Click anywhere to enterElite Engineering. Zero Compromise.
We deploy AI agents that automatically find and eliminate cloud waste, fine-tune LLMs for your domain, and build the platform engineering foundation that scales without limits.
From AI model training to autonomous cloud cost optimization — every layer of your modern platform stack, engineered to scale.
Fine-tune and deploy large language models for your specific domain. RLHF, DPO, LoRA fine-tuning, RAG pipelines, and production-grade model serving with vLLM. We cut inference costs by 80% while maintaining model quality.
FinOps-grade cost engineering that delivers an average 60% reduction in AWS bills. Reserved Instances, Spot Fleets, right-sizing, idle resource elimination, and custom cost dashboards with real-time anomaly detection.
Full-stack observability with SLO-driven reliability engineering. Prometheus, Grafana, Datadog, OpenTelemetry distributed tracing, structured logging pipelines, and PagerDuty for on-call incident response.
End-to-end automation from code commit to production. GitHub Actions, GitLab CI, ArgoCD GitOps, blue-green and canary deployments. Every best practice baked in.
Production-grade Kubernetes on EKS, GKE, bare metal. Helm charts, Istio/Linkerd service mesh, KEDA autoscaling, Velero backup, and multi-cluster federation.
Shift-left quality engineering that ships confidence. Automated test suites with Playwright and Cypress, load testing with k6, contract testing, mutation testing, and quality gates that actually block bad code.
Cloud-native applications built by engineers who understand the full stack. React, Next.js, Node.js, Python, Java, JavaScript — with CI/CD, GitOps, and cloud-native architecture built in from day one.
Deep learning training pipelines on GPU clusters. PyTorch, JAX, distributed training with DeepSpeed/FSDP, custom CUDA kernels, and MLOps infrastructure on AWS SageMaker and GCP Vertex AI.
Averages across client engagements. Individual results vary based on existing infrastructure and scope.
Average cost cut across client AWS accounts
SRE-managed systems availability SLA
Reduction in pipeline run time after optimization
Average inference cost reduction with vLLM optimization
Average code coverage across QA-managed projects
5-star reviews across all platforms
Real solutions, real impact. From environment scalers to live cost dashboards.
A custom control plane that lets teams spin up, scale, and tear down complete staging environments with one click. Reduced environment costs by 70% through automated scheduling.
A FinOps-grade observability dashboard with real-time waste detection. Integrated with AWS Cost Explorer, Trusted Advisor, and custom ML-based anomaly detection.
We connect to your cloud account, deploy an AI agent that scans every resource, then hand you a live dashboard and a self-service portal — so you see the waste, approve the fixes, and watch the bill drop.
Every discipline covered. Every layer of your stack, owned by specialists.
Site Reliability Engineers who maintain systems at 99.9%+ uptime. On-call, incident response, runbook automation, chaos engineering, and SLO enforcement.
Distributed tracing, logging pipelines, and metrics at scale. We make your black box transparent with full-stack telemetry — every request, every service, every error tracked.
Shift-left quality assurance that ships confidence. Automated suites, performance benchmarking, quality gates that block bad code, and thorough code review processes that refine every release.
Engineers who own the entire stack — React, Next.js, Node.js, Python, Java, JavaScript. Cloud-native architecture from day one, with CI/CD and GitOps built in, not bolted on.
AI engineers who fine-tune and deploy large language models. RLHF, DPO, LoRA fine-tuning, red-teaming, model evaluation, and inference optimization for production-safe, cost-efficient AI.
Deep learning specialists who architect and run large-scale training on GPU clusters. PyTorch, JAX, DeepSpeed, distributed training, custom CUDA optimization, and MLOps on AWS SageMaker.
From first contact to production — a structured approach that delivers results, every time.
We start by understanding your infrastructure, pain points, and goals. No templates — a deep technical conversation to map exactly what needs to be built.
Senior engineers design a tailored solution with diagrams, tech stack selection, cost estimates, and a clear timeline. You approve before we write a single line.
Agile sprints with daily updates. Infrastructure as Code, automated testing, peer-reviewed code. Every change tracked, tested, and production-safe.
Zero-downtime deployments with full observability. Dashboards, alerts, runbooks, and SLOs handed over so your team stays in control after launch.
Post-launch we analyze metrics, identify bottlenecks, and continuously optimize. Your infrastructure evolves as your business grows — and your costs shrink.
Production-ready products that solve real infrastructure and security challenges.
Enterprise-grade secure connectivity platform. End-to-end encrypted tunnels, zero-trust network access, and automated certificate management for your cloud infrastructure.
AI-powered cloud cost optimization agent. Automatically scans your AWS infrastructure, identifies waste, and provides one-click fixes to slash your cloud bill by up to 60%.
Real feedback from real engineering teams across the globe.
"Working with linuxo.ai was a great experience. They delivered exactly what I asked for — clean, well-structured, and professional work. Communication was smooth throughout the project. They understood the requirements quickly and executed them perfectly. Highly recommend and will definitely work with them again!"
"linuxo.ai is a fantastic and exceptional cloud engineering team who can take your application to new levels! Definitely get in contact with them for your deployments!"
"linuxo.ai transformed our entire AWS infrastructure. We went from $28k/month to under $11k — without sacrificing performance. The team delivered in 3 weeks what we couldn't do in 6 months."
"The SRE team set up our entire observability stack from scratch — Prometheus, Grafana, distributed tracing with Jaeger. Our incident MTTR went from 4 hours to 12 minutes."
"We needed someone to fine-tune an LLM for our legal domain. linuxo.ai delivered a model that outperformed GPT-4 on our benchmarks — and cut inference costs by 80% with vLLM. The linuxo.ai team is exceptional."
"Best platform engineering team I've worked with. Built our entire Kubernetes platform on EKS with Istio, ArgoCD GitOps, and autoscaling — delivered on time and under budget. 10/10 recommend."
"linuxo.ai set up our entire staging environment scaler. Teams spin up full environments in 2 minutes and costs dropped 65%. The observability dashboards they built give us complete visibility."
"linuxo.ai's AI cost portal is a game-changer. Within 48 hours of connecting our AWS account, the agent had identified $19k/month in waste we didn't even know existed. One-click fixes made it effortless."
"linuxo.ai provides world class expertise and was able to complete the project on time with full satisfaction. Would like to work with them again."
"It was a pleasure to work with linuxo.ai on our WorkAdventure install. They were quick and knowledgeable in AWS services. We ended up hiring again after this for another job. Highly recommended."
"Had an amazing experience with linuxo.ai! Super cooperative, fast communication, and great clarity. Looking forward to more projects together. Clear requirements, timely feedback, and prompt payment made delivery smooth and efficient. Awesome Work!"
Led by engineers who have built and scaled systems at the edge of what's possible.
At linuxo.ai, we believe great infrastructure is invisible — it just works. Our mission is to give every engineering team access to elite Platform Engineering and AI expertise that was once reserved only for the biggest tech companies. We bring that standard to teams of any size, anywhere in the world.View on LinkedIn
The future belongs to companies that can train and deploy AI models as naturally as they deploy code. At linuxo.ai, we've built the infrastructure expertise to do both — we don't just manage your infrastructure, we help you build the AI systems that will define your next decade. Our focus on model quality, cost efficiency, and observability means your AI works in production, not just in demos.View on LinkedIn
Remote-first engineering team with offices across 3 continents. Reach us anywhere, anytime.
Book a free 30-minute discovery call — no commitment, just real technical advice.