Proof of Usefulness Report

Ayasdi

Analysis completed on 1/15/2026

+618
Proof of Usefulness Score
Category Standard

Ayasdi is a historically significant enterprise AI company known for pioneering Topological Data Analysis (TDA). While the project itself (acquired by SymphonyAI) has achieved massive scale, high revenue, and technical validation well above the calibration baseline, the specific submission provided is of extremely low quality. It contains demonstrably false claims (e.g., 'audience: everyone', 'most people have used my product') and lacks verified current data. The score reflects the verifiable high-value reality of the technology and its enterprise traction, significantly penalized by the poor submission quality and the 'everyone' reach fallacy.

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Score Breakdown

Real World Utility+225
Audience Reach Impact+120
Technical Innovation+171
Evidence Of Traction+148
Market Timing Relevance+60
Functional Completeness+2
Subtotal+727
Usefulness Multiplierx0.85
Final Score+618

Project Details

Project URL
Description
Ayasdi is a company that specializes in providing advanced machine learning and artificial intelligence solutions to help organizations solve complex data challenges. With a focus on simplifying the process of extracting insights from large and intricate datasets, Ayasdi offers a platform that leverages topological data analysis to uncover patterns and relationships that traditional methods might miss. Their technology is used across various industries, including healthcare, finance, and government, to drive innovation and improve decision-making processes. By automating the discovery of insights, Ayasdi empowers businesses to harness the full potential of their data.
Audience Reach
everyone
Target Users
everyone
Technologies
Analytics, Machine Learning, Banking
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