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Artificially generated data that mimics real-world patterns without containing actual user or business information. Teams use synthetic data to train and test AI agents when real data is sensitive (healthcare, finance, legal) or scarce. Synthetic data enables agent development without privacy risks—useful for testing support deflection flows, sales sequences, and financial categorization models.
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