Optim1.1
A multi-horizon AI prediction engine. Ingests historical economic, environmental, social and political datasets. Augments signals with real-time news and social media feeds. Synthesises output across five forecast horizons using an ensemble of advanced algorithms.
Data Domains
Submodules
About Optim1.1
Optim1.1 is a concept predictive intelligence engine designed for multi-domain, multi-horizon forecasting. The system fuses structured historical signals — macroeconomic time series, climate records, social indices, governance metrics — with unstructured real-time inputs from global news wires and social platforms.
Rather than relying on a single model, Optim1.1 employs a four-model ensemble: an LSTM network for sequential dependencies, a Transformer for long-range attention, a Bayesian network for causal reasoning under uncertainty, and a gradient-boosted ensemble for tabular feature importance. Outputs are weighted and calibrated into confidence-scored predictions across five time horizons.