Private AI for drug-development teams.

Connect research evidence with the next controlled review

Compare candidates through approved analytical methods, detect inconsistencies and preserve the evidence behind each result.

Inputs: Authorised assay results, study metadata, computational outputs and development records.

From observation to completed task

Run controlled analyses and prepare review tasks for the development team.

Assemble a cross-functional decision briefing from approved programme documents

The supporting records include approved programme plans, study summaries and milestone records.

Responsible specialists review scientific and development claims.

The systems involved

Restricted research systems, validated analytical tools and appropriate scientific oversight.

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

Researchers verify safety and interpretation; no autonomous hazardous experimentation or efficacy claims.