Prediction Vector Engine (PVE)

On-device ML inference that converts sensor data into probabilities

Raw data is not directly useful for prediction markets. Pynthora solves this with the Prediction Vector Engine, which:

• Transforms sensor input → mathematical probability vectors

• Applies temporal analysis for trend detection

• Generates confidence-weighted predictions

• Adapts with ongoing accuracy feedback

• Uses reinforcement learning to improve over time

Examples:

• “80% chance rainfall exceeds 5 mm in next 20 minutes”

• “65% probability that traffic in Zone B slows below 20 km/h by 4 PM”

• “95% chance a supply chain delay hits Checkpoint 7 within 12 hours”

This engine makes robots not just observers, but analytical forecasters.