Transparent performance tracking. Every prediction is logged, measured, and used to improve.
Mantica doesn't just predict — it keeps score, learns from misses, and improves every month. Every prediction is locked at creation time and verified against actual outcomes. This isn't about opinions or vibes. It's about measurable, improving accuracy.
Our probabilities are calibrated to reality. If we say 70%, it should happen ~70% of the time.
Every resolved prediction becomes training data. When reality proves us wrong, we adjust feature weights, refine confidence calibration, and improve similarity matching. This is a closed learning loop that gets smarter with every event.