AI for geological data collation, curation and modeling

Data acquisition

Collate geographical, geophysical and gelogical data pertaining to a particular region of interest from public datasources and further curate the datasets through extraction of geoscientific information from scanned OCR and non-OCR historical exploration reports

Data modeling

Stack multiple layers of data to build a single view of Digital Earth Model, from surface to sub-surface by integrating various geophysical, geological and ASTER layers

Mineral lead generation

Build customized machine learning models that leverage the curated data models to generate leads for presence of mineral and identify potential hotspots for field testing