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 · AstronomyA 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 warningProbabilistic 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 deformationIndependent 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 · DeliveryFrom 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.