Zoa Research

Powerful quantitative forecasting models

Y CombinatorSummer 2024ActiveB2BData ScienceAI

What they do

Problem

Organizations lack accurate, scalable forecasting because existing quantitative models are domain-specific and slow to iterate.

Solution

Zoa Research builds cross-domain event forecasting engines using large models and LLM-driven automated optimization loops to improve forecasting performance.

Who it's for

Teams and enterprises that need quantitative event forecasting across multiple domains.

Founders

Greg Volynsky

Founder

Co-founder and CEO of Zoa interested in 20th century political history, neural / artificial intelligence, Soviet bard music & climbing

Sam Damashek

Founder

Sam is the co-founder and CTO of Paradome. He worked for three years at Jane Street on the options trading desk writing algorithmic strategies using applied ML, for two years in NYC and then one year in Hong Kong, where he built out a satellite dev team for the Asia options markets. He graduated with a BS in Computer Science from CMU, where for some reason he led a fledging constitutional law debate team, never to victory though frequently to Ohio.