A method that survives peer review.
The same engine and the same discipline that run in our industrial work are validated in ESA, OCHA and university contexts, and published where the community can check them.
Request a baseline studyWhat we solve here
Analysis that must hold up to external scrutiny
The engine behind our industrial work is validated on public data in ESA, OCHA and university contexts. Nothing on this site asks you to take our word for it.
Research software that must outlive the project
Open source where possible, engineered for reproducibility: LITHOS (Apache 2.0, PyPI) and climval, our open climate-validation library, recognised in the Pangeo community by researchers at organisations including NVIDIA and Columbia University.
Methods that others can run, not just read
Northflow's Open Science Notebooks are reproducible, citable climate and Earth-observation validation workflows, runnable in the browser. The method is the deliverable, not a screenshot of it.
Capabilities that apply
Proof
| Result | Source |
|---|---|
| 220,656 Candidates surfaced from 1.8 billion objects | ESA Gaia DR3 |
| 43 Countries with forecasts in production | OCHA HDX |
| Apache 2.0 Published open source, reproducible | PyPI |
The method is domain-agnostic; the evidence is public.
Start with a baseline study.
A fixed-fee, fixed-duration engagement with a defined deliverable. Bring one concrete problem in your operations or your data, and leave with a result you can act on.
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