Satellite gravimetry weighs the water stored beneath an entire region, but at a resolution far too coarse for a single portfolio, loan book or abstraction licence. Our engine brings that signal down to the administrative-district (LAU) level and ships every value with a quantified uncertainty band — so the number arrives ready for pricing, scoring and disclosure, not for a research paper.
A per-district groundwater-trend indicator, each with a calibrated prediction interval and a documented comparison against independent monitoring wells — the structural water signal that no rainfall record or single-day satellite image can give you.
Everything below describes what the product does and how it is checked. It does not quote a measured accuracy figure, because the differentiator is not a single headline number — it is that every output carries its own quantified, validated uncertainty.
We do not lead with a single accuracy percentage. Instead, every district value is delivered as a calibrated prediction interval built with conformal methods, so the band has a guaranteed coverage rate: when we say a value sits inside its interval with a stated probability, that frequency holds out of sample. You underwrite against the margin, not against a point estimate you have to trust blindly.
Spatial: delivered at administrative-district (LAU) resolution, downscaled from a native gravimetric footprint that spans hundreds of kilometres.
Temporal: refreshed on the cadence of the underlying gravimetry releases — a new measurement each cycle, with no fabricated values invented between releases.
Vector and raster exports import into standard GIS and risk platforms; tabular feeds map onto existing scoring pipelines.
Gravimetry's native footprint is coarse — a single raw cell can span an area the size of half a country. We never pretend otherwise: the downscaling step is physically constrained and reports its own uncertainty, so a district interpolated from a sparse signal carries a visibly wider band than one anchored by dense ground reference. Districts where the signal cannot be resolved with confidence are flagged, not silently filled.
Gravimetry measures total water mass and cannot, on its own, separate deep aquifer change from soil and surface water. We mitigate by combining it with independent surface-balance signals and calibrating against monitoring wells, so the delivered indicator isolates the structural groundwater component rather than a raw mass total.
Outputs are designed to support CSRD and EU Taxonomy water-risk disclosure with an auditable chain from signal to figure. Processing and delivery run under EU data residency.
We claim relevance, not certification: we do not hold a regulatory seal, and we say so plainly. The validation pack is built so your auditors can replay any figure we issue.
This is a structural trend product, not a short-horizon forecast. It quantifies the multi-year slope of water storage — how fast reserves are gaining or draining once the season is removed — and the statistical significance of that slope. That is precisely the signal a multi-year loan, a renewing treaty or a long-lived abstraction licence is exposed to.
| ATTRIBUTE | GROUNDWATER INTELLIGENCE |
|---|---|
| Primary client | Reinsurers, agri-banks and mortgage lenders, water utilities, CSRD reporting corporates |
| Spatial resolution | Administrative district (LAU), downscaled from regional gravimetry |
| Update frequency | Each gravimetry release cycle; no values invented between releases |
| Uncertainty | Calibrated prediction interval (conformal, guaranteed coverage) on every value |
| Validation reference | National geological-survey monitoring-well networks |
| Delivery | API · GeoTIFF · vector tables · PDF report · SaaS dashboard |
| Integration | Imports into standard GIS and risk-scoring pipelines |
| Horizon | Multi-year structural trend with significance, not a short-range forecast |
| Compliance relevance | CSRD / EU Taxonomy water-risk disclosure; EU data residency |
| Data room | Full methodology and source list under NDA |
This slot is reserved for a completed design-partner pilot. We do not publish a case study before the work exists. When a pilot closes, this section will carry the client context, the validation result against that client's own reference data, and the realised interval coverage — with figures any auditor can replay.
Full methodology, per-district correlation tables and the interval-coverage protocol ship under NDA with every pilot — and stay current for the life of the contract.
Start a pilot See how we validate