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Proof of Usefulness Report

Wafi.cash

Analysis completed on 3/17/2026

+28.74
Proof of Usefulness Score
You're In Business

The project addresses a genuine problem in identity verification and fraud prevention using an LLM-based approach. However, the submission contains contradictory and exaggerated claims, such as stating 'most people have used my product' while simultaneously seeking 'a few customers to pilot the solution.' The revenue metric cites an 'all time marketcap' of 2,500,000, suggesting a crypto token rather than actual verifiable business revenue. Due to the lack of evidence and vague responses, the scores for traction, reach, and response quality are heavily penalized.

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Score Breakdown

Real World Utility+15.0
Audience Reach Impact+0.5
Technical Innovation+7.5
Evidence Of Traction+0.0
Market Timing Relevance+7.0
Functional Completeness+0.25
Subtotal+30.25
Usefulness Multiplierx0.95
Final Score+29

Project Details

Project URL
Description
Summary BIVE AI leverages advanced machine learning and computer vision to instantly verify people and businesses, providing accurate results based on real fraud signals. Experience unparalleled trust and security. Founding story We launched a payment processing platform (https://www.wafi.cash/) and quickly ran into the vast problem of identity theft. We swiftly looked around for a solution that could reliably help us identify when a business, an authorized rep or an individual is fake or fraudulent and we were unable to find anything reliable. We quickly learned that many other businesses are dealing with this problem with a full-time compliance team with varying levels of success. Existing solutions are not only expensive and time consuming, but also unreliable. We developed a large language AI model whose sole purpose is to help customers spot identity theft in a reliable and cost effective way. Now we are looking for a few customers to pilot the solution and give us feedback. Problem: Traditional identity verification falls short. By only validating input data, it allows fraudulent users to bypass security, putting your platform at risk. Solution: BIVE AI treats input data as an initial step. We then validate and analyze information across trusted web sources to definitively confirm not only a person's existence, but the accuracy of their claimed identity. What makes BIVE AI Better? We don't just check data; we validate it across trusted web sources to determine true identity.

Algorithm Insights

Market Position
Growing utility with room for optimization
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