Products & Platforms

Cloud architecture sized for what you actually run.

Cloud-native architectures designed for the workloads you actually have, including the AI, data and streaming services most generic cloud teams underestimate. We migrate, modernise and right-size, with cost control and FinOps built in from day one.

Cloud that scales with the business, with a cost curve you can defend.

Lift-and-shift to cloud often produces a faithful copy of your existing system, billed at on-demand rates. Six months later, the CFO is asking why the bill is growing faster than usage, and engineering is firefighting systems that were never right-sized for cloud costs. We build differently. Architectures sized for the workloads you actually run, including AI/GPU, data, streaming and traditional services. Cost-control practices baked in: cost-per-feature visibility, autoscaling tuned to real traffic, reserved capacity where it earns its keep. Compliance, data residency and resilience handled as design constraints, not afterthoughts.

Where cloud architecture lands first

Sectors where the cloud bill, compliance posture or resilience requirements make architecture choices matter more, not less.

Financial services & fintech

  • Regulator-aware cloud foundations
  • Multi-region resilience and disaster recovery
  • Real-time data and streaming platforms
  • AI and ML workload environments

Why Codino

  • 10+ years shipping production cloud platforms for regulated industries.
  • Cost control first. Cost-per-feature visibility and budgets baked into the design.
  • AI-workload-aware. We understand GPU, inference and data-platform economics, not just generic cloud.
  • EU-based with EU data residency and GDPR-compliant delivery by default.
  • Multi-cloud. AWS, GCP, Azure. Chosen for fit, not for partnership.
  • We design our exit. Your team operates the platform the day we leave.
By the numbers

Cloud spend is up. Cloud value is uneven.

Cost and architecture decisions made early compound for years. The data is consistent.

~30%

of cloud spend is wasted, driven by over-provisioning and lack of cost-control practices.

Flexera, State of the Cloud 2024
94%

of organisations use multiple clouds, but few have the operating model to manage them.

Flexera, 2024
$675B

global public cloud spend in 2024, projected to grow at 20%+ annually.

Gartner, 2024

higher delivery frequency for cloud-native teams vs. traditional infrastructure operations.

DORA, 2023

What you get

A complete cloud capability: architecture, migration, cost control and operations. Sized for what you actually run.

Cloud-native architecture sized for your workloads

Reference architectures and environments for traditional services, data platforms, AI/ML and streaming. Designed for your scale, cost and compliance constraints.

Migration without the dual-running pain

Gradual migrations that move traffic piece by piece. No big-bang switchovers, no six months of running both stacks.

Cost control baked in from day one

Cost-per-feature dashboards, budgets, autoscaling tuned to real traffic, reserved capacity where it earns its keep. Finance stops asking the same question every month.

AI and GPU workload optimisation

GPU capacity strategy, inference cost routing, search infrastructure sizing, training-pipeline economics. The bits most cloud teams underestimate.

Compliance and data residency by design

EU-region defaults, sovereignty considerations, HIPAA/PCI/SOC2 alignment. Architecture passes the audit, not the other way round.

Platform engineering and developer experience

Infrastructure-as-code, golden paths, observability and self-service. So adding the tenth service takes days, not weeks.

What Clients say about us

Vishnu Kaura

Vishnu Kaura

Assistant VP Product & Strategy

"Codino is working on creating a product for our company, they have a keen understanding of technology and do not just engage on just accepting my requirements, rather they provide keen insights on improved ways to achieve the same requirement. Through our association, my organization has launched our product successfully with many of our customers complimenting us on the design and stability of the product and all kudos to the Codino team for helping us achieve this praise. I would definitely recommend Codino to others in search for the right team for their technology implementation."

Axisrooms

Tomasz Naumowicz

Tomasz Naumowicz

CEO

"Codino seamlessly integrated into the client's team and delivered high-quality work, achieving a successful launch and generating recurring revenue for the client. The team delivered on time and was responsive, adaptive, and efficient at using GitHub. Their expertise and readiness were impressive."

Alpaqa Studio

How we deliver

From audit to a cloud platform you can run. Phased so each phase delivers usable infrastructure.

  1. 01

    Audit

    Current-state architecture, cost baseline, compliance posture, workload profile. We surface the highest-cost, highest-risk, highest-impact opportunities.

  2. 02

    Design

    Target architecture, environments, migration plan, cost-control model. Documented and reviewed before we move workloads.

  3. 03

    Migrate / build

    Gradual migration or greenfield foundation. Workloads move with telemetry and rollback at every step.

  4. 04

    Operate

    Cost dashboards, query tuning, observability and continuous improvement. Cost per feature stays predictable as adoption grows.

What changes when cloud architecture is sized properly

Schedule a cloud audit

Your cloud bill stops being a board question

Predictable cost-per-feature, autoscaling that matches reality, reserved capacity where it pays off. Finance stops asking the same question every month.

AI workloads stop being financially scary

Inference cost routing, GPU strategy, model-tier selection. Economics designed in, not discovered when the invoice arrives.

Delivery speed goes up, measurably

Golden paths, infrastructure-as-code and platform engineering let teams ship the next service in days, not weeks.

Compliance reviews pass without re-engineering

EU residency, audit trails, access controls and data sovereignty designed in. Auditors stop asking awkward questions.

How we engage

Our way of working with you

The principles we apply on every engagement, independent of cloud, stack or scope.

  1. 01
    Listen first

    We start with your workloads, not our reference architecture.

    An audit of what you actually run, what it costs, what it should cost, and where the architecture is fighting the business. You leave with a prioritised roadmap.

  2. 02
    Define what good means

    Cost, performance and compliance targets are clear before we build.

    We co-define unit costs, performance SLAs and compliance constraints. So at handoff we can prove value, not argue about it.

  3. 03
    Embed, don't silo

    Senior engineers alongside your team.

    We work next to your platform team, SREs and finance partners. The architecture reflects constraints and priorities you actually have.

  4. 04
    Ship in weeks

    Visible value at each phase.

    No multi-year migration project. Each phase delivers usable infrastructure: a workload moved, a cost cut, a capability landed.

  5. 05
    Design our exit

    Your team operates it the day we leave.

    Infrastructure-as-code, runbooks, dashboards and observability. Built so platform and SRE teams own the system without us.

Cloud architecture, explained

AWS, GCP, Azure on the major-cloud side. OVH, Scaleway and others where EU sovereignty matters. Hybrid and on-prem (Kubernetes, OpenShift) where workload or compliance constraints require it. We pick what fits and never push a cloud you don't need.
Both. Most engagements are a mix: some workloads migrate, some are rebuilt cloud-native, some stay where they are. We tell you which is which, and why.
GPU capacity strategy (reserved, spot, multi-cloud), inference cost routing, model-tier selection, search infrastructure sizing, training-pipeline cost models. Most cloud teams underestimate AI economics; we don't.
Baked in from day one. Cost-per-feature dashboards, budgets, anomaly detection, autoscaling tuned to real traffic, reserved capacity where it earns its keep. We help you set up the FinOps practice, not just a Cost Explorer view.
EU-region defaults, EU-sovereign cloud options where required, data residency and processing-location controls. We work to your existing compliance framework or help establish one that meets GDPR and your sector regulations.

Let's Talk About Your Project

Get In Touch
Maciej Roman|CEO & Co-founder