We offer the only spatial ESG-enriched & AI-powered analysis solution for investment asset outlook and risk assessment.
We automate the end-to-end preparation and analysis commonly performed by entire teams of researchers, analysts, data scientists, and credit professionals, who work in Excel—prone to errors and omissions. By using AI and advanced models, the solution removes human biases and delivers a more accurate and actionable outcome/score.
We also have a full team of data scientists who can provide customers with custom metrics and analytics that we don’t provide off the shelf.
Over 1000+ variables - Metadata and qualified federal, state and municipal sources. Earth data derived at different resolutions from NASA, European and other satellites. All data linked with spatial maps (Municipal or zip code levels) in anytime dashboards.
Geospatial data is “Big Data” – we use AI and cloud computing for processing data.
SUCHI GOPAL, PHD
Co-founder and CEO
Co-founder and CTO
GRAHAM COOK, PHD
Head of Risk Assessment
Head of Marketing & Design
Head of Data Engineering
EDWARD SALTZBERG, PHD; Security & Sustainability Forum
Prior to partnering with ESGAanalytics.Ai, collecting, normalizing, and formatting data used in our environmental, social, and governance (ESG) research was time-consuming, fragmented, and at times just plain frustrating. Through our partnership, Chatmine has provided us with scalable, repeatable, and back-tested data on a wide range of topics, saving our analysts hours of valuable time as well as improving the integrity of the data used in our research.