Specialized forecasting AI for high-stakes decisions
Important decisions are made before the facts are settled. The problem is never a lack of data. It is turning noisy, fast-moving evidence into a reliable view of what is likely to happen next.
General-purpose AI still trails strong human forecasters on public benchmarks. Forecasting is a distinct problem: it requires weighing mixed sources, modeling incentives, and updating as the world changes. That gap is what we are closing.
Our first product is a subscription tool for active prediction-market traders. For any market question, it delivers a probability estimate, the key supporting facts, actor incentives, scenario analysis, and a view of what to monitor next.
Active traders are the entry point, not the whole company. The same forecasting engine expands into prop trading firms, hedge funds, biopharma, policy, and enterprise decision support.
The team is led by Joe Huang, who holds a Ph.D. in Economics from the University of Pennsylvania and built computational tools at the University of Chicago. Before that, he was at BlackRock.
Our experience covers probabilistic reasoning, causal inference, evidence synthesis, incentive analysis, strategic reasoning, and computational systems building.
We are speaking with institutional partners, investors, and technical talent. We welcome conversations with organizations and individuals interested in forecasting, decision-making, and building systems for reasoning under uncertainty.