# Upright Knowledge Base

## Upright Knowledge Base

- [Welcome](https://docs.uprightplatform.com/readme.md): Welcome to the Upright knowledge base
- [Why net impact?](https://docs.uprightplatform.com/background/why-measure-net-impact.md): This page explains why net impact is a relevant and useful measure of the impact of a company.
- [Related frameworks](https://docs.uprightplatform.com/background/related-frameworks.md): This page explains how Upright’s approach to understanding companies' costs and benefits differs from related frameworks.
- [Open access to Upright data](https://docs.uprightplatform.com/background/open-access-to-upright-data.md)
- [Net impact](https://docs.uprightplatform.com/metrics/net-impact.md): This page describes Upright's net impact metrics.
- [UN SDG alignment](https://docs.uprightplatform.com/metrics/un-sdg-alignment.md): This page describes Upright's UN SDG metrics.
- [SFDR Principal Adverse Impacts](https://docs.uprightplatform.com/metrics/sfdr-pai-indicators.md): This page describes Upright's SFDR Principal Adverse Impact (PAI) indicator metrics.
- [EU taxonomy](https://docs.uprightplatform.com/metrics/eu-taxonomy.md): This page describes Upright's EU taxonomy metrics.
- [Off-the-shelf coverage](https://docs.uprightplatform.com/coverage/off-the-shelf-coverage.md): This page provides information on Upright's off-the-shelf company and fund coverage
- [Custom coverage](https://docs.uprightplatform.com/coverage/custom-coverage.md)
- [Net impact](https://docs.uprightplatform.com/methodology/net-impact.md): This page provides information on how Upright produces net impact data.
- [Overview of the Upright net impact model](https://docs.uprightplatform.com/methodology/net-impact/overview-of-the-upright-net-impact-model.md): This page introduces key algorithms used to quantify net impact.
- [Extraction of causal links from scientific literature](https://docs.uprightplatform.com/methodology/net-impact/overview-of-the-upright-net-impact-model/extraction-of-causal-links-from-scientific-literature.md): This page introduces how causal links are extracted from scientific literature in the Upright net impact model.
- [Generalization of scientific knowledge](https://docs.uprightplatform.com/methodology/net-impact/overview-of-the-upright-net-impact-model/generalization-of-scientific-knowledge.md): This page introduces how scientific knowledge is generalized in the Upright net impact model.
- [Allocation of impact across value chains](https://docs.uprightplatform.com/methodology/net-impact/overview-of-the-upright-net-impact-model/allocation-of-impact-across-value-chains.md): This page introduces how impact is attributed across value chains in the Upright net impact model.
- [Estimation of company product mixes](https://docs.uprightplatform.com/methodology/net-impact/overview-of-the-upright-net-impact-model/estimation-of-company-product-mixes.md): This page introduces how company product mixes are estimated in the Upright net impact model.
- [Weighting of impacts](https://docs.uprightplatform.com/methodology/net-impact/weighting-of-impacts.md): This page introduces Upright's approach to weighting impacts.
- [IOOI analysis -based monetization](https://docs.uprightplatform.com/methodology/net-impact/weighting-of-impacts/iooi-analysis-based-monetization.md)
- [Market-price-based monetization](https://docs.uprightplatform.com/methodology/net-impact/weighting-of-impacts/market-price-based-monetization.md)
- [Opportunity-cost-based monetization](https://docs.uprightplatform.com/methodology/net-impact/weighting-of-impacts/opportunity-cost-based-monetization.md)
- [Illustrative example in a simplified economy](https://docs.uprightplatform.com/methodology/net-impact/illustrative-example-in-a-simplified-economy.md): This page demonstrates Upright's approach to quantification of net impact using a simplified, illustrative example of the economy
- [Appendix: Primer in hierarchical Bayesian inference and Poisson-Gamma models](https://docs.uprightplatform.com/methodology/net-impact/illustrative-example-in-a-simplified-economy/appendix-primer-in-hierarchical-bayesian-inference-and-poisson-gamma-models.md): This appendix illustrates some key principles of hierarchical Bayesian inference.
- [Data sources](https://docs.uprightplatform.com/methodology/net-impact/data-sources.md): This page introduces key data sources used to quantify net impact.
- [UN SDG alignment](https://docs.uprightplatform.com/methodology/sdg-alignment.md): This page provides information on how Upright produces data on companies' alignment with the UN Sustainable Development Goals (UN SDGs).
- [SFDR Principal Adverse Impacts](https://docs.uprightplatform.com/methodology/sfdr-pai-indicators.md): This page provides information on how Upright produces data on the Principal Adverse Impact (PAI) indicators defined in the EU's Sustainable Finance Disclosure Regulation (SFDR).
- [EU taxonomy](https://docs.uprightplatform.com/methodology/eu-taxonomy.md): This page provides information on how Upright produces data for metrics related to EU taxonomy of sustainable activities (EU regulation 2020/852)
- [CSRD Double materiality](https://docs.uprightplatform.com/methodology/csrd-double-materiality.md)
- [Release cycle](https://docs.uprightplatform.com/releases/release-cycle.md): This page describes Upright's data release cycle.
- [Release notes](https://docs.uprightplatform.com/releases/release-notes.md): This section collects together release notes starting from release 0.4.0
- [1.12.0 (04 / 2026)](https://docs.uprightplatform.com/releases/release-notes/1.12.0-04-2026.md): Release notes for release 1.12.0.
- [1.11.0 (12 / 2025)](https://docs.uprightplatform.com/releases/release-notes/1.11.0-12-2025.md): Release notes for release 1.11.0.
- [1.10.0 (10 / 2025)](https://docs.uprightplatform.com/releases/release-notes/1.10.0-10-2025.md): Release notes for release 1.10.0.
- [1.9.0 (06 / 2025)](https://docs.uprightplatform.com/releases/release-notes/1.9.0-06-2025.md): Release notes for release 1.9.0.
- [1.8.0 (04 / 2025)](https://docs.uprightplatform.com/releases/release-notes/1.8.0-04-2025.md): Release notes for release 1.8.0.
- [1.7.0 (11 / 2024)](https://docs.uprightplatform.com/releases/release-notes/1.7.0-11-2024.md): Release notes for release 1.7.0.
- [1.6.0 (09 / 2024)](https://docs.uprightplatform.com/releases/release-notes/1.6.0-09-2024.md): Release notes for release 1.6.0.
- [1.5.0 (06 / 2024)](https://docs.uprightplatform.com/releases/release-notes/1.5.0-06-2024.md): Release notes for release 1.5.0.
- [1.4.0 (03 / 2024)](https://docs.uprightplatform.com/releases/release-notes/1.4.0-03-2024.md): Release notes for release 1.4.0.
- [1.3.0 (12 / 2023)](https://docs.uprightplatform.com/releases/release-notes/1.3.0-12-2023.md): Release notes for release 1.3.0.
- [1.2.0 (09 / 2023)](https://docs.uprightplatform.com/releases/release-notes/1.2.0-09-2023.md): Release notes for release 1.2.0.
- [1.1.0 (06 / 2023)](https://docs.uprightplatform.com/releases/release-notes/1.1.0-06-2023.md): Release notes for release 1.1.0.
- [1.0.0 (04 / 2023)](https://docs.uprightplatform.com/releases/release-notes/1.0.0-04-2023.md): Release notes for release 1.0.0.
- [0.8.0 (03 / 2023)](https://docs.uprightplatform.com/releases/release-notes/0.8.0-03-2023.md): Release notes for release 0.8.0.
- [0.7.100 (01 / 2023)](https://docs.uprightplatform.com/releases/release-notes/0.7.100-01-2023.md): Release notes for release 0.7.100.
- [0.7.0 (12 / 2022)](https://docs.uprightplatform.com/releases/release-notes/0.7.0-12-2022.md): Release notes for release 0.7.0.
- [0.6.0 (10 / 2022)](https://docs.uprightplatform.com/releases/release-notes/0.6.0-10-2022.md): Release notes for release 0.6.0.
- [0.5.0 (06 / 2022)](https://docs.uprightplatform.com/releases/release-notes/0.5.0-06-2022.md): Release notes for Stable release 0.5.0.
- [0.4.0 (03 / 2022)](https://docs.uprightplatform.com/releases/release-notes/0.4.0-03-2022.md): Release notes for Stable release 0.4.0
- [Overview](https://docs.uprightplatform.com/upright-agent/chat.md): An AI chat assistant for exploring Upright's company impact data in natural language.
- [Using the chat](https://docs.uprightplatform.com/upright-agent/using-the-chat.md): How to ask questions, what the responses contain, and how follow-ups work.
- [Data and tools available](https://docs.uprightplatform.com/upright-agent/data-and-tools.md): The data the chat can reach and the tools it uses to reach it.
- [Connecting external AI clients](https://docs.uprightplatform.com/upright-agent/external-clients-mcp.md): Reach the same tools from Claude Desktop, Claude.ai, Microsoft Copilot Studio, and other MCP-compatible AI clients.
- [Limits and confidentiality](https://docs.uprightplatform.com/upright-agent/limits-and-confidentiality.md): What the chat will not do, how scope is enforced, and how your data is handled.
- [Authentication](https://docs.uprightplatform.com/api/authentication.md)
- [The Upright net impact framework](https://docs.uprightplatform.com/appendix/the-upright-net-impact-framework.md): Description of impact categories in the Upright net impact model
- [Illustrative example of attribute-only-once](https://docs.uprightplatform.com/appendix/illustrative-example-of-attribute-only-once.md): This article discusses what it means to attribute impacts only once by contrasting it to how the commonly used Scope 1/2/3 GHG emission metrics work.
- [Differences of net impact results and company disclosures](https://docs.uprightplatform.com/appendix/differences-of-net-impact-results-and-company-disclosures.md): This page describes how net impact data differs from GHG inventories or other bottom-up company disclosures.
- [Indicative guidelines for classifying investments in line with SFDR](https://docs.uprightplatform.com/appendix/indicative-guidelines-for-classifying-investments-in-line-with-sfdr.md): This document provides information on using Upright data to classify investments in line with the EU Sustainable Finance Disclosure Regulation (SFDR).
- [Example description of DNSH in pre-contractual disclosures](https://docs.uprightplatform.com/appendix/indicative-guidelines-for-classifying-investments-in-line-with-sfdr/example-description-of-dnsh-in-pre-contractual-disclosures.md)
- [Example description of net impact metrics based indicators in pre-contractual disclosures](https://docs.uprightplatform.com/appendix/indicative-guidelines-for-classifying-investments-in-line-with-sfdr/example-description-of-net-impact-metrics-based-indicators-in-pre-contractual-disclosures.md)
- [Old Indicative guidelines for SFDR classification using classic scores](https://docs.uprightplatform.com/appendix/indicative-guidelines-for-classifying-investments-in-line-with-sfdr/old-indicative-guidelines-for-sfdr-classification-using-classic-scores.md): This document provides information on using Upright data to classify investments in line with the EU Sustainable Finance Disclosure Regulation (SFDR), using Upright's classical scores.
- [Upright data notice](https://docs.uprightplatform.com/appendix/upright-data-notice.md)
- [NFRD status metadata](https://docs.uprightplatform.com/appendix/nfrd-status-metadata.md): This page provides details on Upright's NFRD status metadata
- [Communicating Upright's data – Corporates](https://docs.uprightplatform.com/appendix/communicating-uprights-data-corporates.md): This article provides examples of how companies using Upright's data discuss it in their reporting and regulatory disclosures.
- [Communicating Upright's data – Investors](https://docs.uprightplatform.com/appendix/communicating-uprights-data-investors.md): This article provides examples of how investors are using Upright's datasets, discussing them in different contexts, including reporting, regulatory disclosures and investment policies.
- [Feedback handling policy](https://docs.uprightplatform.com/appendix/feedback-handling-policy.md): This article provides information on how users can leave feedback on Upright data and how feedback is processed.
- [Upright Agent Security Addendum](https://docs.uprightplatform.com/appendix/upright-agent-security-addendum.md): How the Upright Agent processes data, where that data resides, how it is retained and access-controlled, and how Upright meets applicable AI and data regulation.