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Introducing Earthian AI's Evergreen-0: The world's first small language model (SLM) for company ratings on financially relevant sustainability risks and opportunities.
Trained on terabytes of proprietary sustainability, corporate disclosure, geospatial, and regulatory data, Evergreen-0 enables a deeper understanding of how sustainability factors shape corporate performance, risk exposure, and long-term value.
Earthian's Evergreen-0 enables fast, consistent, and explainable company assessments across sectors and geographies â capturing financially material sustainability indicators, governance structures, transition pathways, and real-world environmental impacts.
Built on Earthian's agentic Data+AI infrastructure, the model integrates corporate filings, policy frameworks, geospatial datasets, lifecycle assessments, satellite measurements, supply-chain intelligence, and alternative data sources.
Evergreen models form a core pillar of Earthian's AI-native ESG infrastructure â enabling company ratings that are continuous, transparent, and grounded in real-world data rather than static, manual scoring cycles.
Asset Management
âIn my view, the most important positive observation is that Earthian AI is not trying to add another isolated analytics tool to an already crowded risk stack. Its approach is to reduce manual stitching at the decision point by combining specialized models, geospatial context, and orchestration logic into one governed output.â
Senior Economist
Germany's Largest Asset Manager ¡ Germany
Risk Consultancy
âThe most relevant aspect is the ambition to transform fragmented upstream signals into one auditable decision object that can be reviewed, challenged and documented within institutional workflows.â
Insurance Partner
Tier-1 Big Four Consultancy ¡ UK