Businesses today generate a lot

Businesses today generate a lot of data, but most of it goes unused. Teams often rely on manual analysis or basic tools that can’t uncover deeper patterns. This leads to missed opportunities—whether it’s predicting customer behavior, detecting anomalies, or automating repetitive tasks.

Another challenge is that even when machine learning models are built, they are rarely integrated into real workflows. So instead of driving impact, they stay as isolated experiments.