Companies face a variety of challenges in identifying risks and opportunities to improve Environmental, social and governance (ESG) performance due to highly fragmented data, evolving stakeholder expectations, and rapidly changing regulatory reporting requirements. Teams must often wade through lengthy documents and disparate data sources to gain critical insights for timely decision-making.

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Turium Zebra AI for ESG accelerates time to insight for corporate sustainability professionals by enabling teams to unify and query ESG data, investigate stakeholder publications to guide engagement strategies, and identify and close gaps in current and anticipated reporting requirements. Users can query, automate workflows and optimize processes in natural language and receive accurate answers ranging across internal systems such as EHS and HRMS as well as external publications from priority stakeholders including investors, competitors, and customers.

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Zebra AI for ESG is an enterprise-ready solution with support across structured and unstructured data, a fine-tuned LLM architecture, deterministic responses with source references, and granular access controls. Zebra offers rapid configurability with ESG domain models and pre-built connectors to common data sources such as ERPs, public websites, emission factor data sets, and news feeds.