Proof of Usefulness Report

Falkonry

Analysis completed on 1/21/2026

+334
Proof of Usefulness Score
Certified Problem Solver

Falkonry is a legitimate, high-value Industrial AI company that was successfully acquired by IFS in 2023, confirming significant real-world utility and traction (serving Global Fortune 2000 clients). However, the project submission itself is of extremely low quality, containing false claims (e.g., audience reach is 'everyone', 'most people have used my product') and irrelevant tags ('defi', 'art'). The name 'ShadowKeeper' appears to be a gaming reference rather than a company representative. The final score acknowledges the verified corporate success but is heavily penalized due to the unreliable and spam-like submission data.

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Score Breakdown

Real World Utility+90.0
Audience Reach Impact+40.0
Technical Innovation+85.0
Evidence Of Traction+47.5
Market Timing Relevance+90.0
Functional Completeness+5.0
Subtotal+352.5
Usefulness Multiplierx0.95
Final Score+334

Project Details

Project URL
falkonry.com
Description
At Falkonry, we envision a world where operational data informs every decision from operator to engineer to management through a creative combination of machine learning and domain knowledge to improve the quality, yield, performance, and safety of industrial operations. \n\nFalkonry’s ready-to-use machine learning system finds invisible patterns inside operational data, generating early warnings and solving the hardest operational problems.\n\nThe Falkonry team has extensive experience building and operating machine learning systems, and with managing the complexity of industrial operations. Falkonry serves Global Fortune 2000 industrial companies.

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