Artificial intelligence
LLM assistants and RAG over your documents, process automation, predictive models, and MLOps to keep them reliable in production.
AI
The hard part is not making a system work. It is making sure it still works six months later. We build for that moment.
Our work spans five disciplines that talk to each other: AI, cloud, DevOps, cybersecurity and BI. One partner, from the first audit to day-to-day operations.
Disciplines
Method steps
Public clouds
Working languages
LLM assistants and RAG over your documents, process automation, predictive models, and MLOps to keep them reliable in production.
AI
Migration to AWS, Azure or GCP, high-availability architectures and cost optimisation, without vendor lock-in.
Cloud
CI/CD pipelines, containers and Kubernetes, infrastructure as code with Terraform, and monitoring that pages the right people.
DevOps
Audits and penetration tests, server and cloud hardening, identity management and ISO 27001 readiness.
Security
Data warehouses, ETL pipelines and Power BI or Metabase dashboards your teams actually open.
Data
A project that ends at a demo helps no one. Every engagement leaves something concrete behind, something your team understands and can build on.
Documented infrastructure that you own
Automated, reversible deployments
AI models evaluated on your own data
Monitoring that alerts before your customers do
Access and secrets under control
Dashboards your teams actually open
A prioritised, actionable security report
A full handover to your teams