Our services

Four practices that hold together: connect your systems, build what runs on top, put it into production, and keep it running.

Data integration and ETL

Your systems do not talk to each other: Salesforce on one side, NetSuite on the other, an AS400 in between. We build the flows that connect them and that run unattended.
ETL/ESB flows on Talend Data Fabric, from scoping to production — including taking over an existing estate nobody maintains any more.
A flow that fails has to be visible. Every chain is instrumented: error recovery, rejects held aside, an alert to the team concerned rather than an empty file at the far end.
Data warehouse construction and migration, quality control, and tuning of heavy processing.
Repetitive manual steps automated (UiPath RPA) when the source system offers no interface at all.

Your teams key the same data into three tools. We build the application that brings it together: one business platform, connected to your databases, that your people open in the morning and your systems feed on their own.
An AI agent is only worth having if it can reach the business. We expose your data and your actions through an authenticated MCP server: the assistant acts as the signed-in user, with their permissions, and every call is logged.
WhatsApp, Telegram and web chatbots wired to your live data rather than a frozen FAQ — the question goes out, the agent looks the answer up in the system.
Real-time dashboards fed straight from your databases (PostgreSQL, Oracle, SQL Server), with no manual export and no spreadsheet in the middle.

We design and run production Kubernetes platforms (k3s): at one client, more than 80 virtual machines under continuous supervision.
Releases with no downtime — the new version comes up beside the old one, takes over once it answers, and steps back on its own when it does not.
Databases driven by the cluster itself (CloudNativePG): replication, backups and automatic failover, with nobody woken up at night.
Full observability on the Grafana LGTM stack — metrics, logs, traces. The alert that matters arrives in Teams, with enough to decide on.
Operational chains automated with n8n, and continuous delivery from GitLab CI all the way to the server.

The figure a decision rests on should come from the system, not from a spreadsheet rebuilt every month. We wire reporting straight onto the data.
End-to-end analytical pipelines, surfaced in Power BI, QlikView or Grafana — whichever your teams already open.
Query and large-database tuning: a report that takes ten minutes to open is a report nobody reads.

One conversation is enough to know whether we can help, and how fast.