The Zero Carbon One ESG AI employs a sophisticated generative AI model fine-tuned on over ten million tokens adhering to industry benchmarks such as GRI, SASB, TCFD, CSRD, among others.

This comprehensive training is further augmented with an extensive corpus of global ESG reports from previous years, enhancing the model's robustness and precision. As a result, it equips organizations with the capability to generate robust and accurate ESG reports, streamlining the reporting process by providing enriched information with greater accuracy in a significantly reduced timeframe.

Our approach aligns with the Kraljic Matrix to optimize sustainability strategies.

We derive the Marginal Abatement Cost Curve (MACC) to identify cost-effective emission reduction opportunities.

Our Generative AI-Based Carbon Accounting tool calculates scope 1, 2, and 3 emissions, helping organizations benchmark their emissions against industry peers and optimize their carbon footprint to save costs and reduce emissions.

Zero Carbon One also adds climate modeling to support the development of meaningful and impactful ESG strategies.

Our models help predict and plan for future climate scenarios, aiding in effective decision-making and risk management.

Finally, our tool publishes the ESG report on the blockchain, making it immutable, authentic, and traceable. One of the biggest strengths of the Zero Carbon One sustainability report is that it provides legitimate proof of activities done under the ESG framework, offering verifiable claims made by corporates.

This helps organizations avoid accusations of greenwashing by ensuring that all reported activities are genuine and transparent.