I highly value their ability to ingest and analyze massive numerical datasets with strict precision. Unlike standard language models, they deliver robust statistical reasoning, high-fidelity forecasting, and reliable risk simulations, all of which significantly strengthen our strategic data science workflows. Review collected by and hosted on G2.com.

They can be overly sensitive to the quality of the training data and struggle significantly with out-of-distribution shifts. When they encounter unprecedented market anomalies or “black swan” events, predictive accuracy can drop sharply unless manual override rules are put in place. Review collected by and hosted on G2.com.