Climate researchers / London, ON
Private AI for climate researchers.
Let anomalies lead back to the experiment.

Let anomalies lead back to the experiment
Compare runs, identify outliers and execute reproducible analyses or simulations in controlled tools.
Inputs: Approved experiment datasets, instrument logs, methods and analysis code.
From observation to completed task
Create a versioned analysis notebook and track questions for the researcher.
Organise an approved analytical workflow for reproducibility review
The supporting records include approved methods, dataset descriptions and research notes.
Researchers verify model assumptions and statistical conclusions.
The systems involved
Sandboxed code execution, instrument exports and experiment identifiers.
SOS AI configures the local models and tool permissions for this workflow. Actions in business software follow the authority you approve; uncertain cases and actions outside those limits go to the responsible person.
What a useful result must get right
Scientists validate assumptions and reproduce results; report uncertainty rather than manufacturing a discovery.