Cloud platforms
Landing zones, networking, identity and workload migrations.
- AWS
- Microsoft Azure
- Google Cloud
- OVHcloud
- Hetzner Cloud
- UpCloud
We don't resell licences and we aren't tied to a single vendor. These are the tools we know from production projects, grouped the same way as our services.
6
service areas
42
technology categories
170
tools and platforms
41 tools
We design, migrate and run environments on public and European clouds, with the infrastructure described in code from day one.
Services in this area
Landing zones, networking, identity and workload migrations.
Clusters, application deployments and event-driven functions.
Every environment reproducible from a repository, changes go through code review.
Build, test and deployment pipelines with change control.
Metrics, logs and traces with alerts that someone actually handles.
Cost visibility, rightsizing and cluster autoscaling.
Backups, replication and tested restore procedures.
40 tools
From sources through pipelines and warehouses to reports, we build data platforms that are maintainable and that teams trust.
Services in this area
Lakehouses and warehouses chosen to fit the scale and the team.
Batch transformations, data modelling and job scheduling.
Near real-time data and change replication from databases.
Open table formats that don't lock your data into one vendor.
Transactional databases as integration sources and targets.
Reports, semantic models and dashboards embedded in applications.
Catalogue, permissions, lineage and data quality tests.
Languages and tools for ad hoc analysis and prototypes.
38 tools
We build, modernise and integrate business applications, with tests, CI/CD and documentation as standard.
Services in this area
Web applications and portals your own team can keep developing.
APIs and business logic in the ecosystems companies already run.
Relational and document databases, caching and full-text search.
Queues, event buses, API gateways and flows between systems.
Contracts and authentication for partner integrations.
Integrations with the ERP and CRM systems the business relies on.
Automated tests, static analysis and up-to-date dependencies.
Containers and the environments applications run on in production.
30 tools
We put AI where it has a measurable effect: from assistants on company data, through ML models, to GPU infrastructure.
Services in this area
Cloud language models and open-source models you host yourself.
Agents, RAG and integrating models with company systems.
Indexes of company documents for semantic search and RAG.
Forecasting, classification and models on tabular data.
Experiment tracking, model registry and repeatable training.
Efficient model serving and GPU sharing on Kubernetes.
Document extraction and automation of repetitive back-office work.
26 tools
We build security into cloud, applications and pipelines and work to the standards auditors and regulators expect.
Services in this area
Configuration review, policies and continuous compliance checks.
SSO, MFA, least privilege and key management.
Penetration tests, DAST and SAST.
Image, IaC and dependency scanning, SBOMs in the pipeline.
SIEM, event correlation and incident response playbooks.
Frameworks we design controls and documentation against.
28 tools
Our engineers join teams working with the stacks below and adapt to the tools and processes you already use.
Services in this area
Web applications and design systems.
APIs, services and business logic.
Infrastructure, containers and CI/CD.
Pipelines, data platforms and reporting.
End-to-end, unit and performance tests.
Agile methods and the tools teams plan in.
Don't see your tool? This list covers what we use most often. We also work with the stack you already have.
Tell us where you are today and what you want to achieve. We will suggest a concrete first step, and we can sign an NDA before any technical discussion.