Round 1 Winners!
Proof of Usefulness Report

QuadSci.ai

Analysis completed on 3/23/2026

-11.2
Proof of Usefulness Score
Lab Mode

While QuadSci describes a plausible AI-based telemetry analysis solution for B2B GTM teams, the submission contains egregious red flags. Claims such as 'everyone' for audience reach and 'most people have used my product' for a highly specialized B2B software are verifiably exaggerated and false. Confused metrics ('all time marketcap: 2500000' for monthly revenue) further degrade credibility. In accordance with the methodology, projects with severe red flags and unsubstantiated traction receive a score below zero.

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Score Breakdown

Real World Utility+50.0
Audience Reach Impact-37.5
Technical Innovation+35.0
Evidence Of Traction-70.0
Market Timing Relevance+25.0
Functional Completeness-12.5
Subtotal-10
Usefulness Multiplierx1.12
Final Score-11

Project Details

Project URL
Description
QuadSci is a provider of AI Products for B2B Software GTM teams. QuadSci was recognized as “Machine Learning Company of the Year” in the 8th annual AI Breakthrough Awards program conducted by AI Breakthrough, a leading market intelligence organization that recognizes the top companies, technologies and products in the global Artificial Intelligence(AI) market. QuadSci applies AI to product usage data by processing tens of billions of telemetry events to capture the behavioral patterns of customers, allowing the analysis of customer behavior and usage patterns. QuadSci’s AI products identify patterns across these billions of telemetry events as well as tens of thousands of customer engagement events to predict growth, churn, and contraction up to 12 months in advance with 90% accuracy. QuadSci's two main products, Cohorts AI and Growth AI empower GTM and Product teams. Cohorts AI discovers usage patterns driving customer journeys, enabling businesses to optimize engagement and improve onboarding, growth and retention, while Growth AI predicts future trends like churn or expansion, allowing companies to proactively act. Our Q-Chat family of agents converts the descriptive and predictive power of Cohorts AI & Growth AI into prescriptive actions for GTM teams.

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