We take on a small number of clients and go deep. The work below is large by design — multi-country platforms, multi-cloud consolidations, and regulator-grade analytics — because those are the problems where getting data & AI right actually changes the outcome.
A retail chain with more than 600 points of sale across several countries, with sales and inventory data scattered across systems and no common base to decide on.
We built their multi-country data warehouse and sales and inventory forecasting models, consolidating heterogeneous sources into a single governed platform.
Tax and customs data spread across Oracle, SAP and SQL over multiple clouds; fraud and evasion hard to see across the estate.
Multi-cloud consolidation (Oracle, SAP, SQL · AWS and Azure) plus advanced analytics and fraud detection across taxes, e-invoicing and customs.
Supervising regulated markets with legacy platforms and growing volumes of data.
A governed lakehouse on Microsoft Fabric, anomaly detection at scale, and trustworthy reporting for supervision.
Cases are anonymized by sector at our clients' request; hard metrics available under NDA.
Tell us where you are. We’ll map the pragmatic path to where the value is.
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