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Cardinal Launches “Masspredict” — AI-Powered Prediction Markets Without Gambling

Stockholm-based startup Cardinal has launched a new feature called Masspredict, positioning it as a new kind of prediction market platform—one that removes traditional gambling mechanics while preserving forecasting intelligence.

Reimagining Prediction Markets

Prediction markets are rapidly gaining global traction, with platforms like Kalshi and Polymarket reshaping both financial speculation and public polling.

Cardinal is entering this space with a different approach: enabling users to “predict anything” through structured markets, but explicitly without gambling.

Instead of financial betting, Masspredict focuses on collective intelligence and probabilistic reasoning, aiming to make forecasting more accessible and socially acceptable.

How Masspredict Works

Masspredict allows users to pose any question and observe how outcomes evolve through a live, market-like system.

Key elements include:

  • User-generated prediction questions
  • AI-driven “super forecasters” debating outcomes
  • Real-time market dynamics reflecting shifting probabilities

The goal is to simulate prediction market mechanics while removing monetary risk and gambling behavior.

Addressing Risks in Traditional Prediction Markets

While prediction markets are often praised for their informational value, they also face criticism around insider trading risks and potential links to gambling addiction.

Cardinal positions Masspredict as a response to these concerns—framing it as a “prediction market without the gamble,” designed to preserve utility while reducing harmful incentives.

A New Layer of AI Forecasting

By introducing AI agents into the forecasting loop, Cardinal is blending prediction markets with artificial intelligence reasoning systems.

This creates a hybrid model where human input and AI “super forecasters” interact in real time, potentially improving signal quality and reducing noise.

Why This Matters

Forecasting platforms are increasingly being viewed as tools for decision-making across industries—from finance to geopolitics to product strategy.

If Cardinal’s approach gains traction, it could redefine prediction markets as informational infrastructure rather than financial instruments.

What’s Next

Masspredict is now live and available for users to test.

As Cardinal iterates on its model, the key question will be whether prediction markets can maintain their accuracy and incentive strength without the monetary component that traditionally powers them.

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