Our network of data engineering pipelines uses an ensemble of language models to generate feature vectors that are transformed into correlation matrix datasets and signals available via REST APIs.

For finance, these can uncover hidden relationships based on how global events will impact a portfolio, generate thematic short baskets of stocks and cryptos, and predict convergence events like mergers and acquisitions.