AI forecasts, scored in public

The intelligence layer for prediction markets

Ask any yes-or-no question about the future. Foresea runs real-time searches to gather evidence, weighs facts via an LLM council, and calculates calibrated probabilities compared with live prediction markets.

Try one:

Live contracts matched with Polymarket Kalshi

Concrete Example
Real Forecast Run
1. The Market Question

Will SpaceX complete a major Starship milestone before December 31, 2026?

2. Real-Time Evidence Fetched
Reuters

FAA issues license for next test, signaling accelerated regulatory approvals.

NASASpaceflight

Infrastructure checks complete at pad 39A; hot-staging ring integrated.

Foresea AI Odds
72% YES
Prediction Market
58% Polymarket
Model-vs-Market Edge Model predicts +14 pp higher than current market.
Lean YES (+14)
Live Platform Gaps Updated Just Now
Question
Crowd
Foresea
Signal
Loading live pricing…

Key Intelligence Features

Engineered for Prediction Calibration

We run real-time evidence agents to challenge crowd consensus and identify mispriced prediction market contracts.

Real-Time Evidence Gathering

Unlike standard static LLMs, Foresea runs automated research agents that scrape live news databases (via news APIs and search engines) to construct an up-to-the-minute evidence brief for every forecast question.

Automated Edge Detection

Foresea maps its probabilities directly to order-book pricing on Polymarket and Kalshi. It flags significant contract discrepancies, helping you spot arbitrage, hedges, and mispriced markets instantly.

Transparency & Trust

Is the AI forecast actually reliable?

Prediction markets are difficult to beat because they represent the financial stakes of thousands of active traders. To establish trust, every Foresea forecast is logged in public and scored against final real-world outcomes.

We evaluate the forecast calibration: if we group all predictions where we estimated a 75% probability, about 75% of those events should occur. We track these results transparently in our public database and track record sheets.

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Verified System Performance

76.9% Model Accuracy
234 Scored Snapshots
0.197 Model Brier Score

Calibration Accuracy (Observed Rates vs Predicted)

90% - 100%
100%
70% - 80%
93.8%
50% - 60%
80.0%
0% - 10%
14.3%

* Calibration values computed from actual model outcomes in the resolved track record (`track_record_live.json`). Lower Brier score indicates better calibrated predictions.