Belleau Labs

OPTO-KNOWLEDGE SYSTEMS INC

Department of Defense · SBIR

AI-Readiness Score
13/19
AI / ML Relevance
6/9
Problem Framing
4/5
Awardee Quality
3/5

Award

$1,956,520
Award amount
Award date
HQ086025CE011
PIID

Awardee

13
Total awards
$27,235,379
Total $ won
9.6/19
Avg AI score
View full awardee profile →

Description

SBIR DIRECT TO PHASE II: THREAT DETECTION FROM SPACE IN THE UV-IR (TD-UVIR)

Score Rationale

AI/ML is clearly relevant to threat detection from space sensor data (likely involves anomaly detection, classification, or sensor fusion), but the award title emphasizes the sensor modality (UV-IR) rather than the ML technique, suggesting hardware-software integration is co-primary. Problem framing is solid — space-based threat detection is a real operational need — but lacks specificity on threat type, sensor constraints, or deployment context. Awardee name 'Opto-Knowledge Systems Inc.' uses 'Systems' formulation typical of legacy firms, though the technical focus on optics suggests specialized capability rather than pure integrator status; SBIR pathway indicates smaller company, raising awardee quality score from legacy-integrator baseline.

Source

View on USAspending