Scientific validation
Independent review of experimental design, methods, controls, statistics, interpretation, and reproducibility.
- Methodological review
- Evidence assessment
- Reproducibility
Scientific and computational capabilities built around validation.
We support technical work across biology, biomedical data, quantitative methods, and AI without reducing every problem to the same template.
Computational biology & bioinformatics
Quantitative analysis and interpretation of complex biological datasets using algorithmic and integrative methods.
- Bioinformatics
- Systems analysis
- Data integration
Biomedical AI evaluation
Expert benchmarking and adversarial evaluation of AI systems operating in scientific and biomedical settings.
- Benchmark design
- Failure-mode analysis
- Scientific red-teaming
Quantitative imaging & signal analysis
Method development and validation for imaging and signal-derived measurements, including longitudinal workflows.
- Segmentation
- Registration
- Feature extraction
Multi-omics & molecular data
Genomic, transcriptomic, proteomic, and integrative analysis with emphasis on validity and biological interpretation.
- Genomics
- Transcriptomics
- Integration
Custom scientific engagements
Purpose-built evaluation and analysis for biotech, research organizations, and scientific AI teams.
- Independent review
- Technical due diligence
- Custom evaluation