Started by researchers
at Cornell and Harvard
Sahaj Satani, Ishaan Samantray and Zaria Naqvi are building tools to make CRISPR screen evidence easier to inspect and test.
Analysis became free.
Value moved to ground truth.
Established tools analyze CRISPR screens. We are building traceable evidence and follow-up workflows around them. Independent outcomes are still needed to test whether our recommendations improve experimental decisions.
Every number carries a source. Accuracy we have not benchmarked is accuracy we do not quote.
Useful evidence needs source data, assay context, reproducible analysis and permitted follow-up outcomes.
Frequent hits and familiar pathways can bias predictions. We examine these limitations and retain failed hypotheses.
Workspace records are access-scoped. No automatic training on customer outcomes is implemented; future reuse needs explicit permission.
What the evidence supports.
Bring us a finished screen.
Discuss a blinded evaluation with us. Predictions, outcome definitions and the analysis plan must be frozen before independent validation outcomes are revealed. This workflow still requires a laboratory partner.