Proof of Usefulness Report

Circle AI

Analysis completed on 1/17/2026

+54
Proof of Usefulness Score
You're In Business

The submission presents a significant identity mismatch: the project name 'Circle AI' and the claim 'Established in 2021' contradict the description and URL, which belong to 'Umbo Computer Vision' (founded ~2014). While the described technology (edge-AI security cameras) and listed awards (Nvidia, SIA) indicate high real-world utility and technical sophistication, the submission is severely penalized for low-quality data entry. Claims such as 'most people have used my product' and 'everyone' for a B2B security solution are verifiably false and indicate a lack of seriousness or clarity in the application.

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Score Breakdown

Real World Utility+21
Audience Reach Impact+2
Technical Innovation+12
Evidence Of Traction+5
Market Timing Relevance+8
Functional Completeness+0
Subtotal+49
Usefulness Multiplierx1.09
Final Score+54

Project Details

Project URL
Description
Established in 2021, we are a startup in the AI Security Industry. \n\nOur mission is to transform the security service industry through the assistance of AI visual recognition systems to better protect businesses, their assets, and the general public. \n\nWith offices in San Francisco, London, and Taipei, our products have analyzed billions of security images in real-time for many global security service providers, regional alarm companies and multinational corporations.\n\n\n[Products]\n\n1. Light - a powerful cloud-based human detection AI SaaS service miles ahead of the competition.\n\n2. AiCameras - the industry’s first security camera with onboard AI processing. \n\n3. TruePlatform - a full-fledged cloud management platform with open integrations and alert response capabilities.\n\n[In the Press] \n\nForbes - AI Startup with a Fix to False Alarms TechCrunch\n\nSmart Security Cameras That Prevent Crimes \n\nCB Insight Featured Global Deep Learning Startup\n\nMatterport Top 10 Fastest Growing A.I. Company in the U.S.\n\nASMAG - How A Cloud-Based Self-Learning Camera Benefit Users \n\n[Awards] \n\nElectronic Security Exchange - Video Surveillance Innovation Award in AI and Camera\n\nGlobal Security Exchange - Best in Video Analytics\n\nSecurity Industry Association - Best in Video Analytics\n\nNvidia Deep Learning ECS - Best of Show\n\nNPS - Cloud Solution Award \n\nThe Global Annual Achievement Awards for Artificial Intelligence - Best use of AI for IoT \n\nFrost and Sullivan - Technology Innovation Award
Audience Reach
everyone
Target Users
everyone
Technologies
Cloud Computing, Entrepreneurship, Analytics
Traction Evidence
most people have used my product

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