Tagged: quantitative

Zoa Research is a New York-based AI research lab building cross-domain quantitative forecasting models that generalize across finance, science, and beyond. Founded by Greg Volynsky and Sam Damashek - a Harvard Law/CMU duo and a Jane Street algorithmic trading veteran - Zoa trains LLM-powered multi-agent systems to automate the model-build-test-improve cycle. The result: forecasting engines that outperform narrow models in event prediction, deployed both as proprietary trading capital and as a Forecast-as-a-Service API for researchers, traders, and scientific labs. Backed by Y Combinator (S24), Zoa is building the infrastructure layer for probabilistic reasoning at scale.