Private AI for bioinformatics teams.

Make the pipeline result reproducible from sample to report

Detect processing anomalies, compare authorised cohorts and investigate failed analysis stages.

Inputs: Permissioned sample metadata, sequence-analysis outputs, pipeline versions and QC metrics.

From observation to completed task

Launch approved jobs and generate versioned reports with commands and provenance attached.

Draft a handover explaining a documented analysis pipeline

The supporting records include pipeline documentation, code comments and approved run summaries.

A scientist verifies methods, provenance and reproducibility.

The systems involved

Controlled compute, genomic-data permissions and validated analysis pipelines.

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

Specialists verify consent and biological interpretation; no automatic clinical diagnosis.