Case studies

Using Neural Alpha’s platform, BGF automated peer-benchmarked ESG and climate risk reports for all 194 portfolio companies, replacing manual work with a repeatable annual pipeline that delivers actionable, financially grounded recommendations to every portco.

Using Neural Alpha’s platform, Just Capital analysed 400,000+ documents to extract ~100,000 ESG data points across the Russell 1000, consolidating vendors, cutting cost and manual work, and keeping expert validation in the loop.

This case study highlights Neural Alpha's expertise in geospatial analysis, portfolio screening, data visualisation, nature impact and dependency assessments, and app development.

See how Neural Alpha’s Responsible Capital platform brought new insights to TNFD’s 2025 Status Report.

Neural Alpha is working with the Stockholm Environment Institute to build out a knowledge-graph-based connectivity tool that leverages its expertise in large language models (LLMs) and data engineering to add value to heterogeneous data sets of research and other scholarly articles.

Showcasing our ability to deliver sophisticated backend infrastructures, Neural Alpha delivered the database, ETLs and API powering Lucida’s advanced supply chain and deforestation analysis.

Utilising our expertise in knowledge graphs, supply chains and sustainability, Neural Alpha was the obvious choice to help Refinitiv explore proof of concept applications of their Big Open Linked Data (BOLD) platform to ESG use-cases

Working with a number of global partners, Neural Alpha led the development and data engineering on the novel supply chain mapping behind the inaugural Plastic Waste Makers Index.

Employing our strong data engineering and data integration capabilities, Neural Alpha helped to deliver the Orbitas platform and landmark report on the climate transition risks of agriculture.

Neural Alpha provided an analysis on the scale and channels of UK financial sector exposure (both direct and indirect) to deforestation risk in Indonesian palm and Brazilian soy and beef, as WWF sought to strength commitments in the UK Environment Bill.

Analysing financial and sustainability disclosures is key to effective ESG Integration however with ever changing standards, guidance, formats and exponentially growing volumes this is proving a challenge for ESG teams with limited resources. Enter Machine Learning, Large Language Models (LLMs) and Neural Alpha’s Disclosure Assistant.

Discover how Neural Alpha, in partnership with Vivid Economics (McKinsey) and Natural History Museum (NHM) have developed a cutting-edge geospatial dataset. This transformative resource connects companies to physical assets, enabling rapid analysis of ESG risks like biodiversity intactness.