Cloud & Platform Engineering
Ship faster on infrastructure that costs less to run
Galliot engineers design, build and run cloud platforms on AWS, Azure and Google Cloud, including the infrastructure that ML models and AI agents run on. We work inside your team, in your accounts and your repositories, so everything we build stays yours.
One stack migration cut a client's cloud costs by 30% and sped up their releases.
Who it's for
Products that outgrew their first setup
Deploys are manual, environments drift, and one person knows how production works.
Teams whose cloud bill grows faster than their usage
Nobody has had time to look at what is running and why.
AI teams stuck between demo and production
The model or agent works in a demo, but there is no reliable way to serve it, watch it and control what it costs.
Engineering leaders who need senior platform capacity now
Hiring a platform engineer takes months, and the work cannot wait.
What we build
Cloud foundations
Architecture, migration, Kubernetes, CI/CD and infrastructure as code on AWS, Azure or Google Cloud, or a hybrid with on-premises hardware. A release becomes a merge and a new environment becomes a pull request.
ML platforms and MLOps
Training pipelines and model serving on GPU and CPU, with experiment tracking, model versioning and automated deployment that run the same way on any cloud or on-premises.
Infrastructure for LLMs and AI agents
The layer agents need in production: self-hosted or managed models behind one gateway, vector search, sandboxed tool execution, durable workflows for long-running agents, and tracing, evaluation and cost tracking on every call.
Observability and cost
Monitoring, logging and alerting your team can act on, plus regular reviews of cloud and model spend.
Case study
Healthcare customers needed machine learning services that could run in their own environments. Galliot designed and built an MLOps platform on Kubernetes that runs on AWS, GCP and on-premises hardware, on GPU and CPU instances. We designed the architecture and managed the deployments and services.
Galliot's cloud infrastructure and backend development expertise significantly benefited our business. By migrating and renewing our stack, they reduced our costs by 30%, improved security, and accelerated product releases.
Galliot's expertise in infrastructure and platform development has been invaluable in helping us achieve our roadmap faster and more efficiently. The team was able to identify production issues quickly and automate our infrastructure to increase stability. Besides their technical expertise, the leadership at Galliot has always been a true partner to us at Bodo, they have consistently assured us they are on our side when facing any issues.
FAQ
Do you replace our team or work alongside it?
Who owns what you build?
Which clouds do you work on?
How do we start?
How soon will we see changes in production?
What happens when the engagement ends?
Tell us what is slowing your releases
Send a few lines about your setup. An engineer replies, not a sales team.