Industry · Research and institutions
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.
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.
Capabilities that apply
Proof
| Result | Source |
|---|---|
| 220,656 Candidates surfaced from 1.8 billion objects | ESA Gaia DR3 |
| 43 Countries with forecasts in production | CERES public API |
| 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.
Contains modified Copernicus Sentinel data. Sentinel-2 cloudless by EOX (CC BY 4.0)