From Dürr and HOMAG to midsize industrial equipment manufacturers, we have been delivering in complex, brownfield environments across Germany, Austria, and Switzerland for over two decades.

Engineering teams colocated with your timezone, working directly with plant teams from discovery to production deployment.

Active market presence in Germany, Austria, Switzerland, the UK, and the Nordics, with an office opening in July 2026 in Stockholm. We have references, events, and delivery capacity in each region.

Probably not. We work with the data your machines, MES, ERP, and CMMS already generate. We integrate what exists rather than replace it, and we don't require new infrastructure to get started.

We use an ERP integration and the machine data you already have: no new sensors and no separate data project required to get started. Our dashboards read from your MES, SCADA, ERP, machine data, and HR systems to provide clarity and simplify production scheduling.

No. The ERP handles orders, materials, and finance. Our dashboards sit on top of your ERP and show what it cannot: which machine is causing losses right now, which operator is on shift, and what is putting your delivery schedule at risk.

That's the starting point for most of our engagements. We begin with a scoped discovery to understand what data exists, where it lives, and what's reliable enough to act on. We don't need perfect data to start. We only need a clear operational problem and access to what you already have.

A focused pilot on one production line or one asset typically takes 6–10 weeks from data access to first observable outcome. What we need from your side: one line or asset with a visible problem, a named operational owner from production or maintenance, access to existing data (even partial), and short weekly check-ins during the pilot.

We do, until it's embedded in your daily routines. The same team that defines the approach builds it and operates it. We don't hand over to a different implementation team. Transition to your internal ownership occurs only after the dashboard has been proven and your team is comfortable running it.

We agree on a baseline operational metric before starting, typically MTBF, unplanned downtime frequency, or OEE on the target line, and measure against it throughout. Success is defined in operational terms you already use, not in platform adoption or AI metrics.

We work within your existing IT security framework and governance protocols. Access to production systems is scoped and controlled from the start of the engagement. We can operate within air-gapped or highly regulated environments. We've done this in medtech, automotive, and industrial equipment plants.