Ember

Ember delivers unedited daily AI market predictions, revealing high-conviction signals when our AIs diverge from real-money bets.

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Published on:

April 18, 2026

Pricing:

Ember application interface and features

About Ember

Ember is a groundbreaking public AI prediction engine designed to build trust through transparency. It operates under the philosophy that an AI that cannot demonstrate its reasoning is not deserving of trust. Every day at 7 AM EST, three distinct AI models—Claude from Anthropic, Grok from xAI, and Gemini from Google—independently analyze live markets on Polymarket without consulting one another. By doing so, they provide a fresh perspective on market predictions. If these models disagree with the crowd's consensus by 10 or more points, that divergence is flagged as a high-conviction signal, indicating a potential opportunity or mispricing. Ember is ideal for traders, analysts, and anyone interested in leveraging AI to make informed bets based on real-time market data. With a commitment to accuracy, accountability, and transparency, Ember tracks its performance using Brier scores, ensuring that every prediction is timestamped and public, with post-mortems on incorrect calls. This innovative approach positions Ember as a critical resource for those who want to navigate the complexities of prediction markets confidently.

Features of Ember

Real-Time Market Analysis

Ember synthesizes data from over 20 sources, including prediction markets, bookmaker lines, and AI research feeds. This comprehensive intelligence stack runs daily at 7 AM EST, ensuring that users receive timely and relevant insights to inform their decisions.

Independent AI Models

The platform utilizes three independent AI models—Claude, Grok, and Gemini—each providing unique perspectives. This diversity in analysis ensures that the predictions are well-rounded and not influenced by a single viewpoint, promoting a more robust decision-making process.

High-Conviction Signals

When Ember's probability diverges from the real-money crowd by 10 or more points, it generates a high-conviction signal. This indicates a significant discrepancy that could represent a profitable betting opportunity, allowing users to capitalize on market mispricings.

Transparent Record-Keeping

Ember prides itself on transparency; every prediction is timestamped before the outcome and remains unedited. This commitment to accountability allows users to trust the integrity of the data and insights provided, as all wrong calls are subjected to thorough post-mortems.

Use Cases of Ember

Market Prediction for Traders

Traders can utilize Ember's high-conviction signals to make informed decisions in prediction markets, understanding where the crowd may be mispricing outcomes. By acting on these insights, traders can position themselves advantageously.

Sports Betting Insights

Sports bettors can leverage Ember's analysis of bookmaker lines and real-time sentiment to identify mispriced odds. By using the independent insights from the three AI models, bettors can enhance their strategies and maximize their returns.

Academic Research

Researchers in the fields of AI and economics can study Ember's transparent record of predictions and their outcomes. This data can provide valuable insights into market behavior, AI model performance, and the efficacy of prediction markets.

Financial Forecasting

Financial analysts seeking to understand market dynamics can benefit from Ember's independent calls and robust data synthesis. By examining the divergence signals, analysts can enhance their forecasting models and gain a competitive edge.

Frequently Asked Questions

How does Ember ensure the accuracy of its predictions?

Ember tracks its accuracy using Brier scores, a calibration metric that rewards both accuracy and confidence. This ensures that predictions are not only correct but also reflect a level of certainty.

Why does Ember use three independent AI models?

The use of three independent AI models—Claude, Grok, and Gemini—ensures diverse perspectives and reasoning. This approach minimizes bias and enhances the robustness of the predictions.

What happens when the AI models agree?

When all three AI models agree on a prediction, it is noted but does not count as a divergence signal. The focus is on the cases where they disagree, as these indicate potential opportunities in the market.

How can I access Ember's signals?

Subscribers gain early access to Ember's signals at 7 AM EST, allowing them to act on insights before public release. This timing can provide a crucial edge in prediction markets.

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