Proof of Usefulness Report

Zvolv

Analysis completed on 2/2/2026

+224
Proof of Usefulness Score
Gaining Momentum

Zvolv is a verified Series A enterprise automation platform (Zestl Software) with ~$4.4M in funding and legitimate enterprise clients (e.g., Tata, KFC, Domino's). The project demonstrates strong real-world utility and market timing in the AI/No-Code sector. However, the score is significantly penalized by the submission's poor quality, which contained false traction claims ('most people have used my product') and inaccurate financial data ('7990000000'). Independent verification confirms Zvolv is a 'Small but promising' B2B player (revenue ~$700k-$1M), saving the score from the rejection zone.

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Score Breakdown

Real World Utility+85
Audience Reach Impact+16
Technical Innovation+45
Evidence Of Traction+42
Market Timing Relevance+32
Functional Completeness+1
Subtotal+221
Usefulness Multiplierx1.01
Final Score+224

Project Details

Project URL
Description
The Zvolv Platform helps drive organizational efficiency with the power of AI, Structured Workflows and Cognitive Automation. With Zvolv, Intelligent, Personalized Collaboration Apps, for Every Business Need, can be created in a Matter of Hours, with no developer dependence. \n\nRepeatable, differentiated, complex processes like new product development, new store roll-out or other operational processes in enterprises can benefit most from the Zvolv platform. \n\nZvolv enterprise apps can be created in hours with no developers required, no coding involved. The apps support built in and customizable AI based predictions, analytics and dashboards and bot based automation to maximize efficiency. The apps can evolve rapidly as business scales or processes change, with idea to implementation in days and revisions in hours.\n\nNo-code, rapid launch, data driven intelligence and end-to-end process integration differentiates Zvolv from other enterprise collaboration platforms.\n

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