Capital markets participants don't really act on perfect knowlede, and though in this day and age data sets are increasingly growing and new are being created, the way markets gain knowledge is falling behind progress.
Too many solutions for captital market research today offer data aggregation and creation of new alternative data sets, too few take the challenge of actually mediating data and information to users purposes of research and decision making.
Our solution gathers and semantically analyzes a wide variety of unstructured data sources such as company filings, government publications, and news. It then builds a dynamic knowledge graph of defined concepts such as companies, products, markets and events. The relations of such concepts are evaluated against company performance data by an array of proprietary algorithms. The output is trend and event discovery, risk mapping and quantification, market analysis, and thesis validation. Output reasoning produced by AI is explainable and transparent to users.
This way we enable equity and credit reseach analysts, portfolio managers and corporate stragetists to base their knowledge on more data, and make better deisions faster.