Evara's algorithms can relate reality to model’s underlying and uncertain assumptions. For example, it can predict how many people might buy something at different prices, or how much a company will sell in a few months based on things like how fast it's growing and what's happening with its suppliers. The system gets better over time by looking at what actually happens and comparing it to the predictions. By creating multiple possible futures, refining them using real data, Evara's algorithms can relate reality to the model's underlying and uncertain assumptions. Thus, the system can explain why it made a certain prediction and help make decisions, like finding the best price for a product to make the most money.

We currently integrate with Excel and will expand to browsers, database languages, and other systems in the future.