Proof of Usefulness Report

alwaysAI

Analysis completed on 1/10/2026

+647
Proof of Usefulness Score
Category Standard

alwaysAI is a verified, venture-backed Series A company (founded 2018, ~$16M funding) offering a robust computer vision platform for edge devices. While the submission itself was of extremely low quality—containing hyperbolic claims ('most people have used my product') and missing data—independent verification confirms significant real-world utility, estimated annual revenue of ~$6M, and a team of ~40-50 professionals. The project scores highly on utility, innovation, and verifiable traction, heavily penalized only in the 'Response Quality' and 'Audience Reach' confidence metrics due to the poor submission data.

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Score Breakdown

Real World Utility+22
Audience Reach Impact+11
Technical Innovation+12
Evidence Of Traction+14
Market Timing Relevance+9
Functional Completeness+0
Subtotal+71
Usefulness Multiplierx0.91
Final Score+646

Project Details

Project URL
Description
alwaysAI is a technology company that specializes in providing deep learning computer vision solutions for edge devices. Their platform enables developers to easily integrate computer vision capabilities into their applications, allowing for real-time image and video analysis on devices such as cameras, drones, and IoT devices. alwaysAI focuses on making computer vision accessible and scalable, offering tools and resources that simplify the deployment of AI models on edge devices, thereby enhancing the functionality and intelligence of various applications across industries like retail, manufacturing, and security.
Audience Reach
everyone
Target Users
everyone
Technologies
Iot, Devops, Media Production
Traction Evidence
most people have used my product

Algorithm Insights

Market Position
Strong market validation with clear user adoption patterns
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