Proof of Usefulness Report

Suspect Technologies

Analysis completed on 1/31/2026

+288
Proof of Usefulness Score
Gaining Momentum

Suspect Technologies is a verified, established B2G entity (founded 2015) providing 'AgentAI' and facial redaction/recognition software to law enforcement, including clients like the Dallas Mavericks and hundreds of police agencies. While the project has high real-world utility for privacy compliance (FOIA) and verifiable traction (approx. $2.5M funding, significant adoption), the submission itself was of extremely poor quality, containing false claims ('everyone', 'most people have used my product') and unprofessional data. The score reflects the strong underlying business reality and market timing, heavily penalized by the submission's inaccuracy and the niche nature of the actual audience compared to the claimed consumer reach.

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Score Breakdown

Real World Utility+27.0
Audience Reach Impact+4.0
Technical Innovation+9.75
Evidence Of Traction+14.0
Market Timing Relevance+9.0
Functional Completeness+0.25
Subtotal64.0 (Base Weighted Score)
Usefulness Multiplierx1.0 (Calibration Scale 4.5x applied to base)
Final Score+288

Project Details

Project URL
Description
Suspect Technologies is innovating in the facial recognition and video analytic market with its redaction, video search, verification, and access control products.\n\nOur AgentAI platform currently assists law enforcement agencies by accelerating and enhancing their ability to protect, investigate, alert, and report.\n\nThe company is rapidly gaining traction in the enterprise market as well.

Algorithm Insights

Market Position
Growing utility with room for optimization
User Engagement
Documented reach suggests active user community
Technical Stack
Modern tech stack aligned with sponsor technologies

Recommendations to Increase Usefulness Score

Document User Growth

Provide specific metrics on user acquisition and retention rates

Showcase Revenue Model

Detail sustainable monetization strategy and current revenue streams

Expand Evidence Base

Include testimonials, case studies, and third-party validation

Technical Roadmap

Share development milestones and feature completion timeline