Agrograph provides field-scale predictive models that utilize geospatial data to automate farmland valuation and standardize credit risk analysis for agricultural assets. This technology enables investors and lenders to accurately assess earning potential and manage agricultural risk, enhancing decision-making in agrifinance and crop insurance.
Funding
$2.2M 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.
MCFounders
Product
Problem
Traditional farmland valuation and agricultural credit risk analysis often rely on manual processes and limited data, leading to inefficiencies and potential inaccuracies in assessing earning potential and managing risk. This can result in suboptimal investment decisions and increased exposure for lenders and investors in the agricultural sector.
Solution
Agrograph provides field-scale predictive models leveraging geospatial data to automate farmland valuation, standardize credit risk analysis, and verify sustainability reporting for agricultural assets. The platform transforms asset-level geospatial data into actionable location intelligence, enabling users to de-risk portfolios and support fiscal growth. By offering standardized credit risk analyses, automated farmland valuation, and verified sustainability reporting, Agrograph empowers informed decision-making in agrifinance, climate-smart investments, crop insurance, and agricultural input services.
Target Audience
Agrograph's primary customers include agricultural lenders, investors in agrifinance and climate-smart initiatives, crop insurance providers, and agricultural input service companies.
Features
- Standardized credit risk analysis using geospatial data and predictive models.
- Automated farmland valuation for efficient and accurate asset assessment.
- Verified sustainability reporting to screen sustainable investment opportunities and measure environmental impact.
- Portfolio exposure identification to manage risk effectively.
- Parametric product support for modern crop insurance solutions.
- Claim verification modernization to accelerate policy underwriting.
- Supply shed audits to monitor and report production performance.