Proof of Usefulness Report

Qteq AI Company

Analysis completed on 3/20/2026

-61.75

Proof of Usefulness Score

Lab Mode

The submission contains major red flags and unverifiable, exaggerated claims. Despite being a B2B AI consultancy launched in 2025, it claims 'everyone' as its audience and asserts 'most people have used my product.' Furthermore, it reports an 'all time marketcap' instead of actual revenue, indicating fabricated or confused metrics. Due to these discrepancies and lack of genuine traction, the project receives a severe penalty, resulting in a negative score.

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Score Breakdown

Real World Utility+75

Audience Reach Impact+0

Technical Innovation+30

Evidence Of Traction-200

Market Timing Relevance+40

Functional Completeness-10

Subtotal-65

Usefulness Multiplierx0.95

Final Score-62

Project Details

Project URL

qteq.ai

Description

QTEQ AI is an AI Enablement services company specializing in AWS GenAI & Machine Learning. We help businesses cut SaaS costs while implementing the best of AWS GenAI solutions. Our approach delivers measurable results—reducing costs by up to 70%, improving customer experience, enhancing security, unifying data, and accelerating innovation. Our Integrated Service Offerings: o Q-AI Accelerator: Discover how to fund your AI initiatives through SaaS waste recovery o SaaS App Retirement: Replace expensive AI-enabled SaaS with AWS GenAI at 70% lower costs o Unified AI for SaaS: Break down data silos with event-driven workflows and agentic automation o Unified AI for IoT: Connect disparate hardware, software and SaaS on a single data platform Through our Q-Partner fractional model, we become an extension of your team—ensuring smooth AI adoption and implementation across your business. Talk to a Q-Partner today and discover your hidden AI funding.

Algorithm Insights

Market Position

Early stage requiring focused development

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