Today, we’re releasing Migas 1.5: the first foundation model to fuse text and time series. Until now, forecasting models have only looked at historical numbers. Migas 1.5 changes that by letting users incorporate real-world context directly into the forecast. This enables teams to forecast with essential context like earnings reports, policy changes, market events, supply shocks, and more. This directly results in more accurate forecasting and enables complex scenario analysis, especially when historical data is sparse. Highlights: - Highest Elo rating against leading foundation models on 86 real-world datasets - 75%+ win rate against all baselines (even Migas 1.0!) - Up to 14.2% lower MAE in short-context forecasting - Fully open source - Premade Claude skill to get you started in seconds We’re excited to open-source Migas 1.5 and eager to see what the community builds with it. Links in comments.