Bayesline

Bayesline is an equity risk modeling and analytics platform for quantitative investors. It combines global equity data, model ready datasets and a programmable analytics engine so that a full global factor risk model, which once took weeks to build, can be estimated from scratch in seconds, on the vendor's data, a client's proprietary data or a mix of the two. It serves risk managers, quantitative researchers, portfolio managers and chief investment officers who want to iterate on custom risk models and proprietary factor research without vendor constraints. Users configure universes, factor exposures, classifications and model definitions, then run risk decomposition, performance attribution, factor covariance estimation, what if scenarios and historical time series analysis. The platform is API first, with Python clients in the bayesline package for research and systems integration, and an interactive web interface for exploration. ALEX, the AI Leveraged Exposure calculator, reads company filings and research reports to score a portfolio's exposure to market themes and events, and the company has published work on dynamic factor selection and on allocation to private assets. GPU acceleration and robust regression methods underpin the speed. Pricing is not published. Prospective clients book a call with the company, while the documentation and public API reference are open to read.