Prediction is not causal identification.
AnnieGuard provides contract research and causal reconstruction for pharmaceutical and biotechnology R&D, helping teams determine what complex biological evidence actually supports, what remains unresolved, and what evidence is needed next.
Scientific & Commercial Validation
Causal Reconstruction for Biopharma R&D
Target Evidence Assessment
Determine whether a therapeutic target is supported by the available biological evidence, where uncertainty remains, and which competing explanations could change the interpretation.
Biomarker Interpretation
Determine what an observed biomarker actually represents — causal biology, downstream consequence, patient state, or unresolved association.
Mechanism Assessment
Test proposed mechanisms against competing causal explanations and distinguish what is supported, unsupported, or still unresolved.
Cohort & Multimodal Reconstruction
Integrate genomic, molecular, clinical, longitudinal, and multimodal evidence to identify shared biological structure across heterogeneous patients and datasets.
Evidence Discrimination
Identify the additional experiment, assay, dataset, or measurement most likely to resolve remaining uncertainty and sharpen the next R&D decision.
How We Approach Complex Biological Questions
From complex evidence to decision-ready scientific findings.
CR(𝓔, 𝓗) → (S, U, ΔE)
Evidence + competing explanations → supported structure + next discriminating evidence
