How It Works

Raqam uses advanced machine learning algorithms trained on publicly available historical data along with crowdsourced input collected through our reported valuations.

The models are robust as they actively learn from multiple sources while using intelligent feature enhancements that give it an edge over generic models. User reported valuations are used for reinforcement learning.

We retrain frequently to maintain accuracy. Raqam uses confidence pills to measure it's own confidence while making an estimation.