The world through probabilities.
The future is uncertain. Understanding it shouldn’t be.
Prediction markets offer a unique window into what people expect to happen. But individual market prices rarely tell the full story. Events are interconnected, questions overlap, and seemingly similar markets can describe fundamentally different outcomes.
OddsFox turns fragmented prediction market data into a clearer, more complete picture of the future.
By combining artificial intelligence, mathematical logic, and statistical modeling, we explore how events relate to one another, what their probabilities imply, and how to make sense of uncertainty.
How OddsFox works
1. Understand the events
We use AI to interpret prediction markets, identify what each question actually means, and translate those meanings into logical relationships.
By connecting related events across markets and platforms, we build a structured understanding of possible outcomes.
2. Reason about probabilities
We use probability theory and statistical methods to analyze relationships between events, reconcile compatible estimates, and calculate probabilities for different scenarios.
This includes conditional questions: If one event happens, how likely is another?
Our goal is to develop more informative and accurate forecasts while making the underlying assumptions and uncertainty transparent.
3. Explain what matters
We turn complex probability analysis into accessible explanations of major world events.
Our research explores what might happen, how different outcomes are connected, what has changed, and what the available evidence tells us.
Every conclusion is intended to be traceable to its underlying data, calculations, and assumptions.
Understanding uncertainty, not eliminating it
Probabilities are estimates, not guarantees. Prediction markets can be noisy, incomplete, or inconsistent, and not every question has a reliable numerical answer.
We believe good forecasting should make these limitations visible rather than hide them behind confident predictions.
Our mission is to make rigorous probabilistic reasoning accessible to everyone—helping people understand the world through probabilities, not just predict what happens next.