In 2019 Neural Alpha was commissioned to build a bespoke data platform for The Baltic Exchange which would become the base of all activities related to the publication of the Baltic Exchange’s financial benchmarks and derivatives. Additionally Neural Alpha developed a quality control system within BDP that is able to tackle the challenge of benchmark validation in a market with the unique challenges of ocean freight: unpredictable liquidity, extremely high volatility, and highly siloed market activity, with often restricted information. BDP deploys a battery of univariate and multivariate tests to be able to assess the contributors to The Baltic Exchange’s indices for quality, relevance, and conformity to expected standards.
Neural Alpha developed a new bespoke Real Assets Investment Management database and software application to automate key processes within the lifecycle of hydro, wind, solar, forestry and farmland portfolios
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
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.
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.
Neural Alpha leveraged our leading experience in the fields of connected data and finance to build a solution which made use of graph data. This technology allowed us to efficiently model the supply chain and financial links between entities as well as to flexibly query the data to provide in depth insights to users.
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.
The ForestIQ beta brings together policy, disclosure and commitment data for over 500 organisations with links to the commodity supply chains linked to tropical deforestation including, soy, beef, leather, palm oil, timber and pulp/paper.
RC Physical Assets provides a global dataset that links physical assets to companies, enabling professionals to analyse environmental risks, biodiversity impacts, and evidence compliance with ESG regulations. The solution supports portfolio and asset-level ESG risk analysis using spatial data overlays and contextual information, benefiting various industries and regulatory requirements.
RC ESG Taxonomy provides an enterprise-grade ESG Data Strategy solution, integrating diverse data sources through an AI Language Model, human curation, and a professionally researched taxonomy, enabling ESG professionals to easily access, analyse, and align data with global standards and frameworks.
RC News Screen is a comprehensive ESG research tool with global data coverage and features like sentiment analysis, ESG concept identification, and geotagged contextual information for precise ESG engagement and investment strategies.