IVIX Tech Inc., a startup that helps government agencies detect money laundering and other financial crimes, has raised $60 million in funding. IVIX provides a software platform that scans the web for signs of illicit financial activity. The platform collects that data using scrapers powered by large language models. IVIX’s scrapers aggregate information from blockchains, short-term rental platforms, e-commerce marketplaces and other sources. The platform automatically organizes the raw data it collects to ease analysis. As part of the process, IVIX removes duplicate records and turns the remaining information into a form that lends itself better to processing. Text-based addresses associated with illicit financial activity are translated into coordinates, while data embedded in images is extracted using multimodal neural networks. After organizing the data points it ingests, the platform groups together items that are tied to the same entity. This allows users to identify transactions that are seemingly unrelated but were in fact carried out by the same bad actor. IVIX links together records by organizing them in graphs, a data structure that highlights connections between different pieces of information. The graphs make it easier to spot unusual fund transfers. IVIX looks for such activity by analyzing the frequency, size and timing of transactions. It also evaluates other factors, such as whether transactions made on different platforms appear to follow the same patterns. After identifying suspicious financial activity, IVIX can find the entity behind it. The company claims that its platform performs the task with 99% accuracy. That removes the need for law enforcement officials to perform the task manually, which speeds up financial investigations.