ZEPHR.XYZ INC.

AI/ML relevance scores 7 because detection and classification of jamming/spoofing are explicitly named as core deliverables and imply signal processing / anomaly detection ML work, but the description emphasizes hardware integration (Android phones, raw GNSS) alongside the ML component rather than positioning ML as the primary innovation. Problem framing scores 5: the threat (GNSS spoofing) is concrete and operationally urgent, the sensor modality (consumer phone GNSS) is unusual and implies a novel approach, and success criteria (real-time detection, localization) are clear. Awardee quality scores 4: 'ZEPHR.XYZ INC.' has a modern, tech-forward naming pattern (short, domain extension, minimal boilerplate) consistent with AI-native startups, but without independent verification of founding date or team background, a cautious 4 is warranted rather than 5.