Koi Methodology: Overview

Last Updated: 2025-10-14

"If it works, will it matter?"1 Scaling climate solutions is hard. Koi delivers the fastest, most transparent impact modeling on earth so we can focus more of our effort on solutions that truly count.

Koi is commercial-grade software relied upon by asset allocators, managers, enterprises, and startups who are scaling climate solutions. Built by scientists, engineers and developers who have spent years translating theory into practice, Koi delivers rapid impact forecasts across technologies, portfolios, funds, markets, and user-defined scenarios.

Explore the Methodology

Key Concepts

Terminology, metrics and mathematical foundations.

Data Sources

Data lake references and trusted authorities.

AI Acceleration

Koi Engine's AI-accelerated modeling process.

Alignment

Compatibility with existing frameworks and standards.

Trusted Data & Harmonized Analysis

Koi builds on established methodologies, unlocking their application at scale. Our auditable analyses combine life cycle emissions data, industry research, and market intelligence from leading sources. Built on the foundation of existing and emerging third-party frameworks and methods, Koi’s harmonized approach and digital models apply a consistent methodology, enabling fair comparisons and comprehensive investigations into each solution's climate impact potential.

Comprehensive Data Integration: We start with data from peer-reviewed LCA studies, industry reports, and authoritative databases to ensure robust impact calculations.

Software-Assisted Analysis: Programmatic methodology application enables models that can be built upon, revisited, improved, and consistently scaled into comprehensive portfolio analyses, unlocking advanced analytical capabilities across diverse technologies and markets.

Transparent Assumptions: All modeling assumptions are clearly documented. We cite our sources. We believe that this emphasis on practical transparency enables stakeholders to understand and validate impact projections more quickly and more rigorously without losing sight of the larger narratives. In summary, we build models as packages that can be unboxed.

This integrated approach provides investors and decision-makers with the reliable, comparable data needed to evaluate climate solutions and make informed investment and strategic decisions. How do we do it? Explore the Koi Docs to find out.

Footnotes

  1. ARPA-E's overarching principle that guides all of ARPA-E’s efforts