CHIRAL SOFTWARE, INC

AI/ML relevance scores 7 because 'intelligent anomaly detection' is explicitly an ML technique and appears to be the core deliverable, but the description lacks specificity about which ML methods (computer vision? time-series? unsupervised learning?) and doesn't clarify whether integration/deployment is substantial scope. Problem framing scores 4: the operational problem (anomaly detection for remote surveillance) is identifiable and concrete, but lacks end-user context, success metrics, and specification of what 'anomaly' means in this defense context. Awardee quality scores 4: 'Chiral Software, Inc.' suggests a smaller/modern firm (short name, no legacy 'Systems/Solutions' suffix), but the project name 'ZOMBIECAM' reads more like internal skunkworks codename than a professional entity, making it ambiguous whether this is a genuine AI-native startup or a smaller legacy shop.