Websites · Cloud · Machine learning

Starting a business? Get your website, hosting and cloud set up right.

A small, senior engineering team, working remotely and distributed — not a call centre.

We design and host your website, set up and manage your cloud infrastructure, and train your team to run it. Not a handover and a goodbye.

Think machine learning or computer vision could solve a problem you have? We will help you work out whether it is worth building — then build it.

What we do

A website, designed and hosted

Website design and development, then hosting we actually run for you — fast, affordable and monitored. No handing you a login to a control panel you have never seen and calling it a launch.

Cloud infrastructure, set up and managed

AWS, Azure or GCP set up properly the first time — Kubernetes where it earns its place, DevOps pipelines so releases are boring, and cost you can explain line by line. Managed by us, or handed to your team with the documentation to run it.

Machine learning and computer vision

Machine learning consulting that starts with whether the problem is worth solving, not with a model. Where cameras are the right sensor, we build the computer vision too.

Cosmiqube is a young company taking on its first partners, and we would rather say so than invent a client count. There is no account management layer — the person who scopes your project is the person who builds it. Our own products carry honest development-stage labels, and you will not find a fabricated testimonial anywhere on this site.

Handover

Your infrastructure lives in your repository

Every environment we build is defined as code, committed to a repository you own, in cloud accounts you control. When an engagement ends you keep a system your own team can read, change and rebuild from scratch.

Ongoing support is something you can choose afterwards, not a dependency we design in from the start.

infra/production/main.tf
# Your account, your state backend, your repository.
module "cluster" {
  source = "./modules/gke"
  region = "europe-west1"
  node_pools = var.node_pools
}

# Nothing here depends on us still being around.

Delivery

A commit reaches production the same way every time

Pipelines are built to be boring. Automated checks run before anything ships, promotions between environments are repeatable, and a rollback is a normal operation rather than an incident.

The same gate runs locally and in CI, so a failure on your machine is a failure in the pipeline — not a surprise discovered after merge.

.github/workflows/deploy.yml
jobs:
  verify:
    steps:
      - run: npm run typecheck
      - run: npm run lint
      - run: npm run build

  deploy:
    needs: verify
    # Fails closed. No green pipeline, no deploy.
In development

HRMS & Payroll

HRMS and Payroll is the product we are building first and the one receiving the most engineering time. It covers the operational core of a people function — records, attendance, leave and pay — for companies that have outgrown spreadsheets but do not want an enterprise implementation project.

Actively being built. Not yet generally available — we are onboarding a small number of early partners who want to shape it.

  • Employee records

    A single record per employee covering contract, role history, documents and reporting line, with a change history you can audit.

  • Attendance and leave

    Configurable leave types and accrual rules, approval chains, and holiday calendars that reflect where people actually work.

  • Payroll runs

    Structured earnings and deductions, a reviewable draft before anything is committed, and payslip generation.

  • Self-service

    Employees update their own details, request leave and retrieve payslips, instead of routing everything through one overloaded inbox.

Products

The product roadmap

Everything we intend to build, with its real stage of development. Most of these are planned rather than available — we would rather tell you that here than have you find out on a sales call.

Tell us what you are working on

Send us the problem, roughly what you have tried, and when you need it solved. We will tell you honestly whether it is something we should take on.