ISESG
Social Impact Scoring (SIS): A New Standard for Human-Centered Business Trust
The Social Impact Scoring (SIS) system is a visionary framework designed to measure and reward the real-world contributions businesses make to people, communities, culture, and society — not based on ESG metrics, but on human value.
In a world where trust, purpose, and local relevance matter more than ever, SIS becomes a universal trust signal — helping people and platforms identify businesses that are doing good in tangible, meaningful ways.
This model ensures that pricing is fair, transparent, and aspirational — businesses are rewarded for growing their social footprint, not just their revenue.
Why SIS Matters:
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For businesses: It builds reputation, visibility, and trust in increasingly values-driven markets.
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For consumers: It offers a credible signal of impact and alignment with personal values.
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For platforms: It enables ethical discovery, smarter search, and better recommendations.
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For the world: It shifts the economy toward meaningful, measurable contributions to humanity.
SIS evaluates businesses across five human-centered dimensions:
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Cultural Contribution — Do they support art, heritage, identity, storytelling?
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Economic Empowerment — Do they create jobs, support entrepreneurs, or uplift local economies?
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Social Inclusion — Are they serving marginalized communities or increasing accessibility?
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Knowledge & Education — Are they spreading knowledge or supporting open learning?
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Digital & Civic Engagement — Are they promoting participation, safety, or transparency?
About Our AI-Powered ESG Assessment
At ISESG.org, we revolutionize Environmental, Social, and Governance (ESG) assessment by leveraging AI-powered analytics that go beyond traditional reporting frameworks. Our platform integrates non-traditional variables and alternative data sources to provide a more comprehensive, real-time, and predictive ESG evaluation of companies, industries, and investment portfolios.
How We Redefine ESG Assessment
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AI-Driven Insights:
We employ advanced machine learning models and natural language processing (NLP) to analyze diverse datasets, including satellite imagery, social media sentiment, employee reviews, whistleblower reports, and even supply chain anomalies. -
Non-Traditional Metrics:
Unlike conventional ESG ratings that rely primarily on self-reported data, we incorporate real-world, unstructured, and third-party data to assess:-
Environmental impact through satellite monitoring of deforestation, emissions, and water usage.
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Social responsibility by analyzing worker sentiment, diversity metrics, and ethical labor practices.
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Governance risks based on board diversity, regulatory compliance trends, and corporate controversies.
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Real-Time and Predictive Assessment:
Our AI models continuously monitor and predict ESG risks and opportunities, enabling investors and stakeholders to make proactive, data-driven decisions rather than relying on outdated annual reports. -
Transparency and Accountability:
We prioritize open and explainable AI, ensuring that ESG evaluations are not just automated, but also auditable and interpretable for businesses, regulators, and investors.
By harnessing the power of AI and alternative data, ISESG.org is setting a new standard for accurate, dynamic, and forward-looking ESG assessments—helping organizations drive sustainable, ethical, and responsible growth in a rapidly evolving global landscape.