Neural Alpha have a long track record of uniquely augmenting traditional human research techniques with automation, machine learning and data science. Leveraging the latest cutting edge techniques for extracting insights and value from a wide variety of structured and unstructured data we have extensive experience of creating unique datasets enabling new capabilities. Our approach is multidisciplinary combining expert human research capacity with data and software professionals to deliver comprehensive and contextual insight solutions leveraging many different types of data such as ownership, physical assets, spatial, environmental indicators, news, supply chains and many others. Our research using Large Language Models (LLMs) is particularly effective at reducing the cost of traditionally manually intensive assessment processes and disclosure analysis. Given the ongoing exponential growth in disclosure standards, requirements and volumes embracing machine learning approaches has proven to lower costs and bring new capabilities to our clients. If you have a research thesis or idea focused on a particular area of ESG we can help deliver a unique dataset or piece of original research. We are proud of our track record of combining the latest cutting edge technologies such as Large Language Models (LLMs), Knowledge Graphs, Search, Natural Language Processing (NLP) and web scraping to draw insights from a wide variety of data sets.