Representative tasks
Create realistic, appropriately bounded work from regulatory, clinical, biomarker, writing and evidence contexts.
WHO WE HELP / AI COMPANIES
Test the product against real drug-development work
VED supplies the domain framing, expert network and evaluation discipline that life-sciences AI products need before a compelling demo becomes a trusted workflow.
VED working method
- 01Tasks
- 02Rubrics
- 03Trust
01
Where AI builders need specialist help
Expert rubrics
Define what good reasoning, evidence use, uncertainty and escalation look like.
Blinded evaluation
Run multiple expert reviews, adjudicate disagreement and analyse recurring failure modes.
Workflow fit
Determine where the product belongs, what it replaces, what must remain human and which controls are essential.
Customer credibility
Turn evaluation results into a defensible product claim, implementation boundary and improvement backlog.
Expert supply
Recruit and manage the right professionals for repeated evaluation, red-team or customer-workflow programmes.
02
Why VED—not a broad expert marketplace
Drug-development work is cross-functional, regulated and context-dependent. VED combines domain leadership with expert operations: the person designing the evaluation understands why the answer matters, while the network provides the depth and scale to test it.
03
Commercial formats
- Evaluation-design workshop
- Four-to-six-week benchmark or red-team sprint
- Managed expert panel for repeated product evaluation
- Customer workflow and implementation advisory
- Specialist expert recruitment for internal AI teams
Start with the constraint
What must your programme decide, prove or deliver next?
Share the situation, evidence and timing. We will propose the smallest credible first step.