Distill offers an AI-native platform for probabilistic analysis to de-risk energy development projects. Its cloud-based application enables users to simulate planning scenarios, conduct financial due diligence, and evaluate the impact of policy and macroeconomic changes on grid opportunities and project outcomes.
Funding
Funding not disclosed
Founders
Product
Problem
Energy development projects face significant uncertainty stemming from the interconnection queue, evolving policy landscapes, and macroeconomic fluctuations. Accurately assessing financial viability and project risk under these dynamic conditions is challenging with traditional analytical methods.
Solution
Distill provides an AI-native platform for probabilistic analysis to de-risk energy development. The cloud-based application enables users to simulate various planning scenarios, conduct financial due diligence, and evaluate the impact of policy and macroeconomic changes. This facilitates informed decision-making by offering a nuanced understanding of grid opportunities and potential project outcomes. The platform's capabilities extend to updating generation and demand stacks, modeling the interconnection queue, and testing the robustness of portfolios against different future scenarios.
Target Audience
The platform serves energy developers, project finance professionals, and grid operators seeking to enhance the accuracy of their project planning and financial modeling.
Features
- AI-driven probabilistic analysis for financial due diligence and risk assessment.
- Cloud-based simulation engine for powerflow analysis, cashflow modeling, and IRR calculations.
- Tools to update generation, demand, and transmission assumptions on the network.
- Scenario testing capabilities for policy impacts (e.g., Inflation Reduction Act) and macroeconomic variables (e.g., data center demand, natural gas prices).
- Visualization of key financial metrics, including probability of positive Net Present Value (NPV) and primary drivers of Internal Rate of Return (IRR).
- Direct integration with the interconnection queue modeling.