Building on top of our crypto users mapping work featured in The Wall Street Journal, we enhanced our NLP models and expanded the scope of the analysis to include more trading venues and products.
According to 2020 World Bank data, remittances make up 14.7% of Guatemala’s GDP. Inca Digital through natural language processing named entity analysis sought to ascertain the usage of traditional vs crypto services to deliver these remittances.
Inca Digital’s Investigation Team is often tasked with collecting hidden data on crypto market participants. Although the blockchain space supplies troves of open data to sift through, trading venue activity often remains a mystery due to unreliable trade data and a lack of transparency from trading venue owners. To fill these data gaps, we leverage a variety of Natural Language Processing (NLP) techniques that can produce reliable datasets based on the digital footprint of crypto users. In the…
The Nakamoto Terminal CBDC Factbook is a compilation of intelligence insights on international efforts to create Central Bank Digital Currencies. Most of the information presented in the Factbook is derived from natural language, financial, and technical datasets collected, cleaned, and enriched by Inca Digital. It relies heavily on the combined experience of Inca team members in software development, finance, and intelligence. Unlike other attempts to aggregate CBDC information, our Factbook is…
Tether has been the subject of multiple investigations over the past few years. Most fit in at least one of these categories:
Predictable trading patterns on Kraken