Data
A characterisation campaign is only worth the data it leaves behind. Our craft: collecting it precisely, in a standardised format, so it stays usable — tomorrow as in ten years.
The problem with non-standardised data
Campaigns run on spreadsheets, with improvised categories that change from one contractor to the next: the numbers exist, but they don't compare — not across campaigns, not across territories, not over time. Every study stays a silo, and everything starts over.
Standardise at the source
Our applications enforce standardised — and customisable — nomenclatures at the very moment of entry. Every weighing becomes a structured data point, cross-referenced and comparable: from one campaign to the next, one territory to the next, one year to the next.
Every value carries its proof
Traced weighing, timestamped photo, identified operator: verifiable data is defensible data — before your governing bodies as before your funders.
From the field to the models
- 01
Field
Structured offline entry, at sorting time.
- 02
Structuring
Standardised nomenclatures, consistency checks.
- 03
Comparison
Campaigns, territories and years finally comparable.
- 04
Models
Datasets ready for analysis and AI.
Illustrative example. Each bar is backed by traced weighings, spread across over 100 sub-categories.
Ready for artificial intelligence
An AI model is only as good as its training data. By collecting cleanly today, you build a data capital that tomorrow's tools can use — with nothing to redo.