Proof of Usefulness Report

Scry Analytics

Analysis completed on 1/29/2026

+576
Proof of Usefulness Score
Industry Mainstay

Scry Analytics is a legitimate, high-revenue ($60M+) enterprise AI company with significant market traction and a team of ~200, far exceeding the submitted claims. However, the submission itself was of very poor quality, containing unverifiable generalizations ('everyone', 'most people') and lazy data entry. The high score reflects the verifiable reality of the business's scale and utility, heavily penalized by the lack of effort and accuracy in the provided response.

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Score Breakdown

Real World Utility+225.0
Audience Reach Impact+96.0
Technical Innovation+127.5
Evidence Of Traction+142.5
Market Timing Relevance+85.0
Functional Completeness+2.5
Subtotal+678.5
Usefulness Multiplierx0.85
Final Score+577

Project Details

Description
Scry Analytics (www.scryanalytics.ai) is building enterprise applications that use proprietary AI-based algorithms, which clients can use them on a stand-alone basis or in their solutions. The following is the list of enterprise apps that are part of three suites: \n\n(a) Collatio – collating structured and unstructured data and analyzing it\n• Financial spreading\n• Loan ops automation\n• Financial ops automation\n• Contract intelligence\n• Invoice reconciliation \n• Data flow mapping\n\n(b) Risc – predicting marketing risk and operational risk\n• Medsocial\n• Adverse event detection using external media \n• Voice of Cancer Patients\n• Predicting the probability of default for SMB Loans\n• Identifying similar service tickets and potential bugs\n• Enhanced Due Diligence (for KYC and Firmographics)\n\n(c) Anomalia – detecting anomalies and potential fraud\n• Anomaly detection in ACH transactions\n• Anomaly detection in Wire transactions\n• Anomaly detection in Mobile Checks\n• Anti-money Laundering (AML) \n• Detecting Conflict of Interest\n• Employee Fraud Detection

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