We design, deploy and operate robust Cloud platforms — Kubernetes, AWS serverless, industrial CI/CD — and help your teams adopt AI in the enterprise.
We support our clients across the full lifecycle of their technology platforms, from cloud design to AI adoption.
Design, deployment and operations of robust, secure and cost-efficient cloud architectures, aligned with business goals.
Industrializing software delivery chains and runtime platforms, with a focus on quality, reliability and team autonomy.
Supporting enterprise adoption of generative AI: use case scoping, integration with existing systems, change management.
Three production architectures: AWS high availability, serverless, and a modern open-source data platform.
Manually deployed platform, stressful releases and oversized VMs: we shipped a multi-AZ auto-scaled architecture, a full Azure DevOps CI/CD pipeline and a GitFlow workflow with mandatory code reviews. Outcome: safe deploys and a significant cloud bill drop.
For workloads with high traffic variability, we designed a 100% serverless architecture: CloudFront at the edge, API Gateway for routing, Lambda for compute. No capacity to provision, no servers to patch, costs aligned with real usage.
In-flight engagement: design and industrialization of a unified data platform on EKS — Airflow for ELT orchestration, DBT for modeling, a Postgres + ClickHouse + Trino foundation for federated OLAP, Cube.js as the semantic layer, and Apache Superset to democratize data across business teams.
A common approach across our Cloud, DevOps and AI engagements.
Free 30-min audit, technical scoping workshop, prioritization of use cases, stack selection and timeline.
Cloud architecture implementation, infrastructure as code, CI/CD pipelines and AI components when applicable.
Production rollout, observability, team enablement, documentation and full skills transfer.
30 minutes to scope your project and identify the right industrialization levers.
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