Does the model reason beyond the benchmark?
Evaluate scientific agents and biomedical models on tasks that expose weak reasoning, unsupported claims, and methodological errors.
Custom benchmarks · Output review · Failure analysis
SolutionsThe right evaluation.
The right evaluation.
For your next decision.
Different teams face different scientific risks. Align the evaluation with the research context, the workflow, and the evidence needed to move forward.
Custom benchmarks · Output review · Failure analysis
Can the analysis support the next research step?
Examine computational evidence, analytical assumptions, and biological interpretation before committing to a research direction.
Multi-omics · Statistical review · Pipeline validation
Can another researcher reproduce the result?
Assess analysis workflows, document assumptions, and investigate sensitivity to choices made across the research pipeline.
Reproducibility · Methods review · Quantitative analysis
What changes when the data or workflow changes?
Assess quantitative imaging and research workflows for robustness, consistency, and scientifically meaningful sources of variation.
Imaging pipelines · Robustness · Measurement review
Start with a
well-defined question.
A useful project brief identifies the system or dataset, the intended research use, the decision at stake, and the available evidence.
Scope, access requirements, deliverables, and timing are agreed before work begins.