Engineering cases | NF-BUS-010 | EN

Engineering cases

Each case is a place the same method or the same delivery capability ran on real data. Situation, method, result, and why it matters to a plant.

01 · Astronomy

A handful of real candidates in 1.8 billion objects

Situation
Gaia DR3 holds nearly 1.8 billion observed objects. A small number are genuine candidates; the rest is noise and known sources. A single threshold drowns you in false positives.
Method
HGE generated and falsified a large field of competing hypotheses against the full dataset instead of trusting one model.
Result
220,656 candidates surfaced and ranked reproducibly, independently evaluable in an ESA context.
Relevance
finding the one real cause of a process deviation among millions of tag values is the same form of problem.

Source: ESA Gaia DR3

02 · Humanitarian early warning

Probabilistic forecasting in production

Situation
early warning of food crises means combining many weak, noisy signals into something people can act on, with honest uncertainty.
Method
CERES builds probabilistic forecasts on open data and publishes them reproducibly, with the uncertainty kept in the result.
Result
forecast data runs in production on OCHA's humanitarian data platform, across 43 countries.
Relevance
the same principle applies in a plant: combine weak indicators into a decision, and keep the result auditable.

Source: OCHA HDX

03 · Ground deformation

Independent movement from open satellite archives

Situation
stability monitoring usually depends on instrumentation operated by the owner, covering only the instrumented points.
Method
LITHOS processes public InSAR archives (EGMS, LiCSAR) into millimetre-scale time series across the whole surface, as an open, second layer.
Result
published as open source (Apache 2.0) on PyPI, so that method and result can be reprocessed by a third party.
Relevance
for dams and repositories under GISTM, independence is the point: evidence not produced by the operator.

Source: EGMS (Copernicus)

04 · Delivery

From analysis to systems that run

Situation
insight without a system to act on it evaporates. A vendor has to build and operate, not only report.
Method
Northflow owns the whole stack: data, integrations (ERP, payments, catalogue), and the running application, built for years of operation.
Result
a multi-organisation B2B and B2C commerce platform with ERP integration in production, and a multilingual multisite for an industrial materials group.
Relevance
when the analysis points at a system that must be built, this is the proof that it gets built and kept alive.