Proof of Usefulness Report

HyperVerge

Analysis completed on 1/23/2026

+721
Proof of Usefulness Score
Category Standard

HyperVerge is a verified, high-impact AI scale-up delivering critical identity verification infrastructure for over 450 enterprise clients (including Jio, Grab, and Vodafone) and verifying 1B+ identities. The project demonstrates exceptional Real-World Utility, Innovation (NIST top-rankings), and Market Relevance. However, the specific submission provided was low-effort, with lazy claims in the 'Evidence of Traction' and 'Audience Reach' fields (e.g., 'most people have used my product'). Consequently, the 'Response Quality' and 'Evidence of Traction' quality factors were heavily penalized, preventing a near-perfect score despite the company's confirmed $19M+ ARR and massive scale.

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Score Breakdown

Real World Utility+250
Audience Reach Impact+180
Technical Innovation+142.5
Evidence Of Traction+118.75
Market Timing Relevance+90
Functional Completeness+2.5
Subtotal+783.75
Usefulness Multiplierx0.92
Final Score+721

Project Details

Project URL
hyperverge.co
Description
HyperVerge, Inc. is a Silicon Valley based deep-learning startup funded by NEA, Milliways Ventures, and Naya Ventures. \n\nHyperVerge has developed patent-pending technology for real-time analysis of images and videos obtained from sources such as satellites, surveillance cameras, industrial cameras, and documents. Our models lead the market with top accuracy values on many important data-sets and are optimized for deployments in low bandwidth environments. Deep-learning networks built by HyperVerge are powering applications for large enterprise clients in Security, Energy, Financial Services and Defense.\n\nVisit www.hyperverge.co for more details

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