RAYTHEON COMPANY
Department of Defense · Contract
AI-Readiness Score
11/19
AI / ML Relevance
7/9
Problem Framing
4/5
Awardee Quality
0/5
Award
$30,042,680
Award amount
—
Award date
HR001121C0134
PIID
Awardee
839
Total awards
$95,251,240,444
Total $ won
1.5/19
Avg AI score
Description
FAST EVENT-BASED NEUROMORPHIC CAMERA AND ELECTRONICS (FENCE) AIMS TO DEVELOP AND DEMONSTRATE A LOW LATENCY, LOW POWER, EVENT-BASED CAMERA AND A NEW CLASS OF SIGNAL PROCESSING AND LEARNING ALGORITHMS THAT ENABLE INTELLIGENT SENSORS.
Score Rationale
AI/ML relevance scores 7 because the award explicitly names 'learning algorithms' and neuromorphic computing as core deliverables for intelligent sensor processing — genuine ML work at scale — but the scope blends hardware (camera, electronics) with algorithms, diluting pure AI focus. Problem framing scores 4: 'low latency, low power' and 'intelligent sensors' are operationally grounded, but the end-use case (ISR? targeting? contested environment sensing?) remains implicit. Awardee quality scores 0: Raytheon Company is a mega-prime defense contractor ($67B+ revenue), not an AI-native startup, signaling this is legacy prime capturing emerging tech rather than retrospective evidence of startup-native AI procurement.