Cloud and security

The infrastructure under everything else we build.

Migration, managed operations, and security engineering from the team that already runs AI and web workloads in production every day.

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This line is not new work for us, it is work we used to only do inside other projects. Every AI agent we deploy needs somewhere to run, a way to be watched, and a security envelope around it. Clients kept asking whether we would do that part on its own. Now we do, and it is the same engineers either way.

The line

Three ways in.

Most teams arrive at one of these three and pick up the others later. You can buy any of them on its own.

What we ship

Everything under one roof.

  • Migration and modernization

    Assessment, target architecture, and a phased move that keeps releases shipping.

  • Managed operations

    Infrastructure as code, pipelines, observability, and on-call owned by senior engineers.

  • Security engineering

    Reviews, cloud hardening, identity and secrets work, ranked by real exploitability.

  • Cost engineering

    Rightsizing, commitment planning, and egress work, reported against unit economics.

  • AI workload infrastructure

    GPU and inference capacity, model gateways, and the spend controls around them.

  • Compliance readiness

    Evidence, controls, and the engineering work behind a SOC 2 or GDPR programme.

AI in the loop

Agents watch the boring parts.

Infrastructure generates more signal than a person can read. Agents do the first pass so an engineer starts from a hypothesis, not a wall of alerts.

  • Discovery agent

    Maps services, dependencies, and data flows from your accounts and repos.

    Trigger
    Runs at assessment, then monthly.
    Output
    A current inventory, so planning starts from facts.

  • Cost anomaly agent

    Watches spend per service and per environment against its own baseline.

    Trigger
    Runs daily.
    Output
    An alert naming the resource and the change that caused it.

  • Drift and exposure agent

    Compares live configuration against the committed state and known exposure.

    Trigger
    Runs on every apply and nightly.
    Output
    A diff and a ranked list of what is now reachable.

  • Incident triage agent

    Correlates the alert with the last deploy and similar past incidents.

    Trigger
    Runs the moment a page fires.
    Output
    A starting hypothesis attached to the page, not after it.

Agents narrow the search. A senior engineer still decides and still carries the pager.

How we work

How the work actually runs.

  1. 01

    Assess

    Two weeks reading the accounts, the repos, and the bill. You get the findings either way.

  2. 02

    Agree the order

    What gets fixed first, what can wait, and what we think you should not pay us for.

  3. 03

    Do the work

    In slices, behind change control, with your team in the pull requests throughout.

  4. 04

    Hand over or hold

    Runbooks and access go to you. We stay on operations only if you want us to.

What clients say

4.6average across 4 verified reviews

Read them on Clutch
  • I was particularly impressed by their creative approach and attention to detail.

    Videography & photography company · website, SEO + design

  • They delivered the project on time.

    Watch retailer · Shopify store build

  • Cubitrek always had a positive mindset and was kind.

    Personal training company · video + social media

Questions buyers ask us.

  • Because we already do it. Every AI system we deploy runs on infrastructure we build and operate, and our own site runs on Cloudflare Workers. This line makes that practice buyable on its own rather than only inside a bigger project.

  • AWS, Azure, GCP, and Cloudflare. If your workload is already somewhere sensible we will usually tell you to stay there. Migration between clouds is rarely the cheapest answer to the problem people arrive with.

  • We hold no SOC 2 or ISO certification of our own today, and we will not imply otherwise. We do the engineering work that gets our clients through their audits, and your auditor assesses your controls, not ours.

  • Yes, and it is most of this work. We start with an assessment so nobody inherits surprises, then agree what we fix before we touch anything that is currently serving traffic.

  • We do security reviews, cloud hardening, and secure code review. For a formal third-party penetration test with a signed report we bring in a specialist firm, because an independent tester should not be the team that built the thing.

  • Usually between five and fifty engineers. Below that a managed platform is often the honest answer and we will say so. Above that you probably want to hire, and we can help you scope the roles.

  • Directly. AI workloads have infrastructure problems most web apps do not: inference cost, GPU capacity, model gateways, and prompt-injection exposure. If you are running agents in production this line is where those problems get handled.

Ready to start cloud and security?

A 15-minute call. We map the goal, look at what exists, and come back with a scoped plan.

Send us the goal instead