Proof of Usefulness Report

Allganize

Analysis completed on 1/9/2026

+576
Proof of Usefulness Score
Industry Mainstay

Allganize is a verified Series B enterprise AI company with significant backing ($35M+ from SK Telecom, KDDI) and over 200 enterprise clients (SMBC, Nomura). The project demonstrates high real-world utility in the unstructured data/RAG space. However, the submission itself was of extremely low quality, containing false claims (audience reach: 'everyone', traction: 'most people') and lacking data, which heavily penalized the Quality Factors for Reach, Traction, and Response. Despite the poor submission, the verified business fundamentals justify a strong positive score.

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Score Breakdown

Real World Utility+225
Audience Reach Impact+70
Technical Innovation+127
Evidence Of Traction+106
Market Timing Relevance+95
Functional Completeness+2
Subtotal+626
Usefulness Multiplierx0.92
Final Score+576

Project Details

Project URL
Description
Allganize helps enterprises automate answering questions from a myriad of unstructured text documents.\n\nIts applications include assisting service representatives in customer support centers, enhancing the search experience on the website and mobile app for end-users, providing customer support chatbots, and extracting important entities from text contracts for underwriters and agents. \n\nUnlike its competitors in the enterprise AI space, Allganize’s proprietary technology does not require any manual data tagging, making it very quick to implement while providing best-in-class results accuracy. By adopting Allganize, it is proven that an agent can handle 3X - 5X more tickets per day as the AI is capable of answering 50% - 80% of questions automatically.\n\nWe're a Series A stage company and with most remote settings. Members are located in San Francisco Bay Area, all across the US, Japan, and South Korea.
Audience Reach
everyone
Target Users
everyone
Technologies
Space Technology, Mobileappdevelopment, It Services
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