Proof of Usefulness Report

Query.AI

Analysis completed on 1/28/2026

+410
Proof of Usefulness Score
Certified Problem Solver

Query.AI is a legitimate, venture-backed cybersecurity company offering a high-utility 'Security Data Mesh' solution. However, the project submission itself was of extremely low quality, containing vague filler text (e.g., audience reach 'everyone') and demonstrably false claims regarding traction ('most people have used my product'). While the underlying technology and market relevance are strong—supported by independent verification of their Series A status—the score is significantly penalized by the lack of verifiable evidence provided in the entry and the lazy response quality.

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Score Breakdown

Real World Utility+187.5
Audience Reach Impact+40.0
Technical Innovation+112.5
Evidence Of Traction+50.0
Market Timing Relevance+90.0
Functional Completeness+2.5
Subtotal+482.5
Usefulness Multiplierx0.85
Final Score+410

Project Details

Project URL
Description
Query.AI is a cybersecurity company that focuses on simplifying security operations by providing a platform for centralized access and analysis of data across various security tools and environments. Their solution is designed to enhance the efficiency and effectiveness of security teams by enabling them to query and investigate data without the need for data duplication or complex integrations. By leveraging a decentralized approach, Query.AI allows organizations to gain insights and make informed decisions quickly, improving their overall security posture. The company aims to address the challenges of data silos and the growing complexity of security infrastructures in modern enterprises.

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