Founder
Profile summary: MS in Computational Neuroscience at Harvard University
Earthian AI
Earthian AI develops foundational AI models for the financial sector that utilize high-precision reasoning for risk intelligence. These inference-driven systems price assets and assess risk with greater accuracy than conventional data-centric financial models. The company provides global financial institutions with competitive advantages in risk research, market analysis, and asset pricing.
- Artificial Intelligence
- Data & Analytics
- Enterprise Software
- Financial Technology
- Software Only
Updated 7 months ago
Funding
Funding rounds are not available yet.
Founders
Product
Problem
Financial firms face increasing pressure to manage climate-related risks and comply with evolving environmental regulations, requiring extensive data collection and analysis. Manually assessing these risks across large portfolios is time-consuming, prone to errors, and struggles to incorporate granular, location-specific data.
Solution
Earthian offers an AI-powered climate risk management platform that streamlines regulatory compliance and transition risk assessment for financial institutions. By leveraging Geo-specific Large Language Models (GeoLLM), the platform provides high-resolution insights into environmental risks at a granular level. Earthian automates the analysis of climate regulations, biodiversity impacts, and potential greenwashing, enabling firms to quickly identify and mitigate risks within their portfolios. The platform integrates diverse data sources, including regulatory updates, satellite imagery, news, and social media, to ensure superior data quality and accuracy in underwriting and due diligence processes.
Target Audience
Earthian's primary customers are financial firms, including asset managers, insurance companies, and banks, that need to manage climate-related risks, comply with environmental regulations, and improve the accuracy of their underwriting and due diligence processes.
Features
- Geo-specific Large Language Models (GeoLLM) for localized climate risk intelligence
- Automated report generation on biodiversity regulations, standards, and double materiality
- AI-powered fact-checking of sustainability claims to prevent greenwashing
- High-resolution climate regulation data for portfolio analysis
- Integration of regulatory updates, satellite images, news, and social media for comprehensive data coverage
- Climate risk insights for underwriting, due diligence, and green financing products
- Tools for identifying and mitigating climate risks in assets and portfolio companies