ECOVISOR

Provision of data-driven, predictive and actionable Environmental, Social, and Governance (ESG) functionalities, namely, data collection and management, calculations, reporting, and operational performance evaluations; provision of collaborative analytics to capture, connect, validate, and analyze ESG data to establish baselines, streamline reporting, track progress, and forecast emissions and evaluate decarbonization pathways; provision of automated tracking, calculation and consolidation of ESG performance data of multiple disparate data sources in real time for regulatory reporting and comparison of ESG performance against goals and for providing insight to power data-driven operational and financial decisions to improve ESG performance; business data analysis to reduce environmental impact through automatic tracking and calculation of emissions data to the component level, creating data-driven emissions and decarbonization goals, and tracking performance; provision of fully auditable ESG data ecosystem, accessible by all, without replacing legacy systems or altering source data; provision of automated data collection and calculations to efficiently comply with current and future ESG regulatory and reporting requirements; business data analysis to forecast emissions and analyze potential reduction scenarios to create quantitative, achievable environmental goals in support of data-driven emissions reductions; business data analysis to verify and audit ESG performance with a single source of truth combining ESG data, standard financials and operational metrics

Design and deployment of computing technology, namely, a comprehensive and agnostic platform and unified data model to provide data-driven, predictive and actionable Environmental, Social, and Governance (ESG) functionalities of data collection and management, calculations, reporting, and operational performance evaluation; design and deployment of computing technology to provide a collaborative analytics platform to capture, connect, validate, and analyze ESG data to set baselines, streamline reporting, track progress, and forecast emissions and evaluate decarbonization pathways; development of software to automate tracking, calculation and consolidation of ESG performance data of multiple disparate data sources in real time for regulatory reporting and to compare ESG performance against goals and provide insight to power data-driven operational and financial decisions to improve ESG performance; design and deployment of computing technology to reduce environmental impact through automatic tracking and calculation of emissions data to the component level, creating data-driven emissions and decarbonization goals, and tracking performance; development of software to provide fully auditable ESG data ecosystem, accessible by all, without replacing legacy systems or altering source data; design and deployment of computing technology to automate data collection and calculations to efficiently comply with current and future ESG regulatory and reporting requirements; design and deployment of computing technology to forecast emissions and analyze potential reduction scenarios to create quantitative, achievable environmental goals in support of data-driven emissions reductions; design and deployment of computing technology to verify and audit ESG performance with a single source of truth combining ESG data, standard financials and operational metrics