Prediction-market intelligence · Early access
Sheppi combines AI research, human analysis, personalized strategies and controlled automation to help prediction-market traders make better-informed decisions.
Sheppi is not an exchange and does not hold your funds. No accuracy or profit is promised.
Start anywhere. Each one works on its own, and they compound when used together.
You set the boundaries. Sheppi works inside them and shows its reasoning.
Pick the sports, markets and categories you care about, and set the risk level you are comfortable with. Nothing reaches you that you did not ask for.
Model forecasts, reviewed human analysis, the reasoning behind both, the risks to the call, and alerts shaped by the preferences you set.
Trade manually on the venue you already use, approve a suggested trade, or — once it is available — hand a narrow band of decisions to automation.
The model, a human reviewer and the market on one scale — with the reasoning, and the thing most likely to make it wrong.
Labour-market softening through the summer supports a cut, but the last two inflation prints came in above consensus and the committee has said it wants a run of clean data first.
A hot core CPI print before the meeting removes the case entirely. This call is one data release away from being wrong.
Reviewed by a macro analyst, who reads the labour data as more decisive than the model does.
This is one card. The full feed, with filters and your own alerts, is behind View predictions.
A forecasting product that grades its own homework is worth nothing. Here is the method, published before there is a record to be proud of.
A prediction is recorded when it is made, not after the result is known. Nothing is edited retroactively, and the timestamp travels with the call.
Settled predictions keep their original probability next to the outcome. A model that only shows its good weeks is not showing you a model.
The question is whether things we call 70% happen about 70% of the time. A win rate rewards forecasting only the obvious; calibration does not.
Where an analyst has adjusted or disagreed with the model, you see both figures and who said what. The two are never blended into one number.
Results are published as they settle on Performance. We are early: there is not yet a long record, and we would rather say so than show you a number we made up.
Every suggestion and — when it opens — every automated action obeys these. They are yours to set and yours to change.
Learning material and predictions are open during early access. Pricing lands when automation does — and we will say what it costs before we ask for it.
The product is being built in the open. Some things are finished, some are labelled Coming soon, and automated order placement is gated on technical and regulatory review. You will always be able to tell which is which — anything not live is marked, on every screen.
No. Sheppi does not hold your money, take the other side of your trade or settle contracts. Venues like Kalshi and Polymarket do that. Sheppi is the layer that helps you decide what to do there.
No, and be careful of anyone who does. Prediction markets are risky and you can lose everything you put in. What Sheppi offers is better-informed decisions, stated probabilities, and the reasoning behind them — not outcomes.
Models trained on historical market and outcome data, published with their reasoning and the main risk to the call. Every forecast is timestamped before settlement and kept on the record afterwards.
Context a model does not have — an injury, a scheduling change, a source that has not reached the data yet. Where a reviewer disagrees with the model you see both numbers separately, never averaged into one.
Not yet. Automated order placement is gated on technical and regulatory review and is marked Coming soon throughout the product. Strategy rules and risk limits can be configured before it opens.
Nothing. Learning material and predictions are open. An account at a prediction-market venue is only needed when you want to act on something.
Join early access and get the research, the reasoning and the controls. No promises about outcomes — just a much better idea of what you are looking at.