Proof of Usefulness Report

I-ESG

Analysis completed on 2/10/2026

+412
Proof of Usefulness Score
Certified Problem Solver

I-ESG is a verified B2B SaaS platform specializing in ESG management, utilizing AI and Big Data. Search confirms it is a legitimate spinoff (likely from SK Innovation) that raised Series A funding in early 2025 and has expanded into the UAE and US markets. It holds over 10 patents and has won the Korea AI Award. However, the submission itself contains significant inaccuracies (claiming 'everyone' as the audience and 'most people' have used it), which severely impacts the response quality score. Despite the poor submission, the underlying project demonstrates high utility, strong technical innovation, and verified market traction.

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Score Breakdown

Real World Utility+22.5
Audience Reach Impact+6.0
Technical Innovation+19.1
Evidence Of Traction+21.2
Market Timing Relevance+9.5
Functional Completeness+0.2
Subtotal+78.5
Usefulness Multiplierx1.05
Final Score+412

Project Details

Project URL
Description
i-ESG is an ESG specialized AI/Big data-enabled B2B SaaS solution. ESG is a rapidly growing regulated sector. By providing a data-driven integrated ESG management solution using innovative technologies, i-ESG supports companies to effectively respond to ESG-related requirements from various stakeholders. i-ESG provides an All-In-One ESG digital solution enabling companies to know, manage, and deliver ESG better. i-ESG covers including but not limited to ESG Self-Assessment, Materiality issue identification, ESG Reporting Automation, AI-driven Improvement Feedback, ESG Management Dashboard, ESG Intelligence, GHG Emission Management. i-ESG is a customer-centric company, where clients benefit from data-driven solutions for their sustainable growth. - i-ESG is fast (at least 6 times faster) - i-ESG is easy (no professional knowledge or prior-experience required) - i-ESG is reasonable (up to 95% of cost savings) - i-ESG is unbiased (based on the data utilization technology patents) - i-ESG is reliable (a corporate venture of Fortune 500)

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