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Climate change, biodiversity and other environmental concerns; social issues such as diversity, equity and inclusion; as well as worker well-being are woven into broader environmental, social and governance (ESG) discussions — discussions that every enterprise needs to have to achieve sustainability goals and meet ESG compliance requirements.
However, an overwhelming amount of data and a lack of technology can make it difficult for organizations to make data-driven decisions related to ESG. Additionally, due to existing knowledge gaps, corporations have to rely on expensive consultants to bring the necessary expertise into their organization.
“With the rapid momentum around ESG, teams are stuck manually organizing an enormous amount of data to understand how to identify and manage non-financial risks and stakeholder requirements. Because of this, the majority of time is spent collecting data and building reports rather than implementing solutions,” Beeri Amiel, CEO and cofounder, Continue AI, told VentureBeat. Amiel says Continue AI uses artificial intelligence (AI) to analyze millions of data points to deliver insights that provide action plans that enterprises can implement across their organizations.
Founded in 2021, Continue AI — which today announced $5.7 million in seed funding — aims to harness data to provide a new layer of sustainability intelligence that business leaders never had before to mobilize companies into sustainable action and create meaningful change.
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Embedding intelligence into ESG measures
“My cofounders, Alon Arad, Yonatan Maor, and I have spent our careers building big data products and deeply understand the importance of using …