THE CHARLES STARK DRAPER LABORATORY, INC.

Award title explicitly names 'Neural' and suggests machine learning applied to evidence aggregation and risk detection, but the description is largely acronym-heavy marketing language without concrete technical deliverables (what ML architectures, what data modalities, what integration challenges?). Problem framing is vague—'emerging risk' and 'neural determinants' lack operational specificity (risk to whom? in what domain?). Draper Lab is a large, legacy FFRDC (federally funded research center), not an AI-native startup, which significantly constrains this as evidence of venture-style defense procurement despite the neurotechnological framing.