Synthetic Data Pipeline: Building a Scalable, Low-Overhead Training Data Flow
AI systems demand increasing amounts of data to perform well—but gathering real-world data can be costly, slow, and limited in scope. That’s why many teams are turning to synthetic data: it’s faster to generate, easier to customize, and ideal for covering rare or hard-to-capture scenarios.