Viridian provides a big data and AI-driven solution for investors to assess climate-related physical, transitional, and sustainability risks at a facility level, enabling precise financial impact quantification. This technology addresses the critical need for reliable, granular climate risk data throughout the investment lifecycle, enhancing decision-making and portfolio management.
Funding
$3.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Investors need reliable, granular data to assess climate-related physical, transitional, and sustainability risks at the facility level. Traditional risk assessment solutions often fail to capture the full spectrum of these risks, hindering informed decision-making and portfolio management. This lack of precise risk quantification makes it difficult to understand the potential business and financial impacts of climate change on investments.
Solution
Viridian provides a big data and AI-driven solution that enables investors and asset managers to assess climate-related risks within their portfolios at a highly granular, facility level. By harnessing big data and AI capabilities, Viridian offers precise asset-level climate and sustainability impact modeling, which can be directly linked to financial metrics. This technology delivers detailed risk analysis using asset-level data, advanced analytics, and models to help navigate the volatile global economic landscape, allowing for the quantification of business and financial impacts for each physical asset owned by a company. Viridian's solution facilitates comprehensive company risk analysis and full portfolio analysis.
Target Audience
The primary users are investors and asset managers who require high-quality, granular climate risk data and insights throughout the investment lifecycle, including portfolio risk management, mitigation, pre-investment market analysis, and due diligence processes.
Features
- Facility-level data for precise asset-level climate and sustainability impact modeling.
- Comprehensive climate and sustainability risk assessments, including physical, transitional, and natural disaster risks.
- Financial impact quantification, including Climate Value-at-Risk (CVaR) and full Sustainability Value-at-Risk (SVaR) metrics.
- AI-driven analysis of local physical and regulatory conditions.
- Detailed analysis of a company's risk profile across its entire operational landscape.
- Holistic risk view encompassing physical, transitional, natural disasters and biodiversity risks.