Forecastion

A forecasting and Monte Carlo simulation tool that turns raw data into forecasts, scenarios, and shareable models. It solves the problem of slow, fragmented forecasting workflows by enabling fast ad hoc analysis and rigorous backtesting. It is designed for finance and analytics teams in companies of various sizes. It is delivered as a SaaS platform with a web-based interface, offering both a Forecast Lab for time-series forecasting and a Monte Carlo Lab for probabilistic simulation.

Key features

• Forecast any time-series and backtest in seconds
• Compare forecasting methods side by side
• Automatic backtesting with MAPE, MAE, R², bias
• Seasonal decomposition and adjustment
• Tune training data with sliders and re-forecast
• Run up to 10,000 Monte Carlo simulations
• Distribution-driven assumptions (normal, lognormal)
• Combine forecasts with formulas
• P10/P50/P90 percentiles and statistics
• Save models in shared workspaces