Private AI for university research labs.

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.

Document an approved experiment handover

The supporting records include protocols, authorised notes and equipment guidance.

Researchers validate methods and maintain appropriate data access.

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.