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 on public data from ESA and OCHA, and in a quantum evaluation for Osaka University, 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 from ESA and OCHA, and in a quantum evaluation for Osaka University.
Research software that must outlive the project
Open source where possible, engineered for reproducibility: LITHOS (Apache 2.0, GitHub) and climval, our open climate-validation library on PyPI.
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 | GitHub |
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)