Quantity surveying · Global
A Danish QS firm running global construction programmes needed comparable cost data across countries, currencies, and years. We helped them standardise and clean the procurement data, then build a pricing intelligence layer on top.
The brief
A QS firm with a global footprint operates across countries, currencies, and decades of programmes. Materials — concrete, doors, glazing, fixtures — get sourced in different markets, at different times, against different supplier conventions.
Building cost intelligence on top of that surface means making the data behave as one shape first. The brief was to make procurement data comparable across the firm, then build the layer that turns it into pricing insight.
Our work
We worked with the team on the data layer first — normalising units, currencies, periods, and supplier conventions across regions so the same line item reads the same wherever it shows up.
On top of that we helped them stand up a pricing intelligence engine: cost models and benchmarks they lean on for live programmes, instead of rebuilding the analysis from scratch each time.
The outcome
Cleanup phase
Countries standardised
Cost data coverage
[CLIENT QUOTE TBD] — A short, specific sentence from the client about pricing decisions that are now defensible.
More case studies
Real estate technology · Portugal
A Portuguese real estate technology firm asked us to turn an existing CRM into a full sales operating system. We designed the architecture, set up the multi-funnel segmentation strategy, and now run the commercial review cadence as a partner.
Read moreAI-native underwriting · USA
A US underwriting platform needed scorecard summaries lenders could trust at a glance. We helped them shape the system-prompting strategy and build the prompt-data library that drives consistent, defensible output.
Read more45 minutes. No commitment. No slide deck. Just a conversation.
Book a discovery call