Data intelligence.

Your product data has more value than your current systems let it show.

The Problem

Enterprise product data is often locked in static exports, a single spreadsheet or XML file standing in for what should be a living system. That makes it nearly impossible to power personalisation, recommendations or smart product guidance, and every downstream team pays the price in manual work.

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AI, but with our eyes open

Many AI initiatives start big and try to work their way in. We do it the other way around.

We start small and specific with your pain points in mind. Then we build targeted AI solutions that fit like a glove. It’s a practical approach focused on creating lasting value.

What we build

We design the data foundation first, then the intelligence layer on top: structured data lakes, graph-based product models and AI/ML applied to real business problems, built to integrate cleanly with what your enterprise already runs.

What's included:

Data engineering: structured data lakes, graph models, product catalogues
AI/ML layered on top for recommendations, automation and smart guidance
APIs and pipelines that connect the platform to your existing systems
Staged delivery, proof of concept through to production, with governance and documentation at every step

Proof

For Danfoss, we migrated a single static XML export into a structured data lake and graph-based Design Center, now powering enterprise applications and product exploration at scale.