ISESG
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Social Impact Integrated Scoring (SIIS):
A New Standard for Human-Centered Business Trust
The Social Impact Integrated Scoring (SIIS) 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.
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In a world where trust, purpose, and local relevance matter more than ever, SIIS becomes a universal trust signal — helping people and platforms identify businesses that are doing good in tangible, meaningful ways.
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This model ensures that pricing is fair, transparent, and aspirational — businesses are rewarded for growing their social footprint, not just their revenue.
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Why SIIS 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.
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SIIS 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?​
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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.
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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.